APRIL 17-19, 2013 SAN FRANCISCO, CA CONFERENCE GUIDECongressional Campaigns of 2012 Denise Bedford,...

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APRIL 17-19, 2013 ● SAN FRANCISCO, CA

www.textanalyticsworld.com/sanfrancisco/2013

KEYNOTE SPEAKERS

CONFERENCE GUIDE

Dr. Andrew FastDirector of ResearchElder Research, Inc.

Tom ReamyChief Knowledge ArchitectKAPS Group PRODUCED BY :

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© 2013 Rising Media, Inc. 1 www.textanalyticsworld.com/sanfrancisco/2013

Welcome

Table of ContentsAgenda Overview .......................2

Conference Floorplan .................6

Session Descriptions ....................7

Workshop Descriptions ........... 16

Keynote Bios ............................ 21

Exhibitor Floorplan .................. 22

Sponsors .................................... 23

Sponsor Profiles ....................... 24

Dear Innovators and Text Analytics Practitioners,Welcome to Text Analytics World San Francisco! This conference brings to-gether professionals and experts, academics and business leaders, consul-tants and users to create a cross-disciplinary, cross-fertilization environment that will deepen theory with real world perspectives and enrich the practical with new ideas and techniques.

Text Analytics World is the only full spectrum text analytics conference cover-ing everything from practical business applications to the latest cutting-edge research, and delivering sessions across verticals such as entertainment, e-commerce, academia, government, publishing, engineering, high technology, and healthcare.

TAW’s agenda covers hot Topics such as

• Combining the best of text analytics and test mining approaches, in-cluding Big Data and Social Media

• The benefits of text analytics and how to make the case to your organization

• The latest social media and voice of the customer approaches, including the analysis of conversations

• Text analytics and politics including the use of social media in the Tunis Revolution and a semantic analysis of the recent US elections

• Text analytics and knowledge management on how to create smarter organizations

• New techniques in semantic search and search-based applications like E-discovery and fraud detection

• Text analytics and taxonomies including automatic and semi-automatic methods

• The latest in auto-categorization techniques and applications.

We will hear from two industry analysts on the current and future state of text analytics. We will also have two expert panels made up of representa-tives of the major text analytics vendors who will discuss their latest offer-ings, but also we will be gathering questions for the next three months to ask them, so think up your best and toughest questions!

I look forward to seeing you at one of our premier keynotes, sessions, work-shops, exposition, live demos, networking coffee breaks, and reception.

Tom Reamy,

Program ChairText Analytics World

Text Analytics World Stay Engaged

Connect with your peers, the latest conference news and

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Twitter: @TAWConConference Hashtag #TAWCon

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Agenda Overview

TRACK 1 BIg DATA / SOCIAl MEDIA TRACK 2 ENTERPRISE TExT ANAlyTICS

Wednesday, April 17, 2013

7:30-8:30am Registration&NetworkingBreakfast•Room: Atrium

8:30-8:35amConference Chair Welcome Remarks•Room: Foothill G

Tom Reamy, Text Analytics World

8:35-9:15am

KeynOTe•Room: Foothill GFull Spectrum Text Analytics:

Integration of Text Mining & Text AnalyticsTom Reamy, KAPS group

9:15-9:30am

GOld SpOnSOR pReSenTATIOn•Room: Foothill GGain Unprecedented Insight from Text Sources

Byron Banks, SAP

9:30-10:00amFive Trends That Will Reshape the Computing landscape•Room: Foothill G

Sue Feldman, Synthexis.com

10:00-10:30am Exhibits&MorningCoffeeBreak•Room: Atrium

TRACKSSOCIAl MedIA & BIG dATA

Room: Foothill GenTeRpRISe ApplICATIOnS

Room: Foothill E

10:30-11:15am

Voice of the Customer Knowledge Management

next Gen Voice of the Customer Using Text Analytics

Kurt Williams, Mindshare Technologies

enterprise Knowledge Management Via Text Search Analytics

Cameron Zadeh, Transomatic Corporation

11:20am-12:05pmContent Intelligence – From What

to Why Via Who, When and Where Jeremy Bentley, Smart logic

Industrial Knowledge Organization: Capturing and leveraging Knowledge

from Text Mark grabb, gE global Research

12:05pm-1:00pm lunch•Room: Atrium

1:00-1:45pm

Text Analytics and politics Search

Social networks Users’ Behaviors Analysis at the Revolution

Jalel Akaichi, University of Tunis

Is Big data Giving Us The Answer? Martin Baumgartel, Walt Disney


Agenda Overview

TRACKSSOCIAl MedIA & BIG dATA

Room: Foothill GenTeRpRISe ApplICATIOnS

Room: Foothill E

1:50-2:35pm

Advanced Text Analytics Techniques new Applications

Semantic Analysis of the political discourse in the presidential and

Congressional Campaigns of 2012 Denise Bedford, Kent State University

Beehive: Semantic Search Optimization at Autodesk

Tom Williams, Autodesk

Shamik Bandopadhyay, Autodesk

Michael Kilgore, InfoClear

Sunny yoon, Autodesk

2:35-3:00pm Exhibits & Afternoon Break•Room: Atrium

3:00-3:45pmChatterBox — Visualizing

Text discussions xiaomei Zhu, eBay

See Addendum For Details

3:50-4:35pmSentiment Trend Intelligence:

Getting Ready for the Future Hadley Reynolds, NextEra Research

e-discovery Through Text Mining: Fraud detection

Sergei Ananyan, Megaputer Intelligence

4:40-5:40pm

expeRT pAnel•Room: Foothill GAsk the experts: SAS, Smart logic, expert System, Concept Searching

Jeremy Bentley, Smartlogic

Bryan Bell, Expert System

Don Miller, Concept Searching

Adam De Oliveira, SAS

5:40-7:00pm networking Reception•Room: Atrium

Thursday, April 18, 2013

8:00-8:45am Registration & Networking Breakfast•Room: Atrium

8:45-8:50amConference Chair Welcome Remarks•Room: Foothill G


8:50-9:35amKeynOTe•Room: Foothill G

Beyond a Bag of Words Dr. Andrew Fast, Elder Research, Inc.

9:35-10:05amIndustry Watch•Room: Foothill G

Steve Arnold

Constance Ard, Arnold IT

TRACK 1 SOCIAl MEDIA / BENEFITS OF TExT ANAlyTICS TRACK 2 KNOWlEDgE ORgANIZATION


Agenda Overview

10:05-10:40am Exhibits & Morning Coffee Break•Room: Atrium

TRACKSSOCIAl MedIA /

BeneFITS OF TexT AnAlyTICSRoom: Foothill G

KnOWledGe ORGAnIZATIOnRoom: Foothill E

10:40-11:25am

Text Analytics Applications Ontology-Based Applications

picture perfect: leveraging Text Analytics to Suggest Stock Art for Web & print Content

Diana Joseph, Adobe Systems

AllegroText: Text Mining with an RdF Graph database

Jans Aasman, Franz Inc.

11:30am-12:15pm

Conversations Auto-Categorization

Supporting Two-Way Customer Interaction with Synergistic

Text Analytics and Taxonomy and Metadata Strategies Carol Hert, gary Carlson Consulting

From print-First to digital-Centric B2B Media with Automatic Categorization

Monica Fulvio, Hanley Wood

12:20pm-1:15pm lunch•Room: Atrium

1:15-2:00pmUsing Context for deep Text Analytics

Catherine Havasi, luminoso

Transparent Rule-Based Systems for Technology Assisted Review

Bruce Hedin, H5

Chris Hogan, H5

2:05-2:50pm

Benefits of Text Analytics Taxonomy and Text Analytics

Making Text Analytics pay Meta Brown, Independent Consultant

Automatic Taxonomy Generation for a news Group

Anna Divoli, Pingar

Capturing Acronyms for a Medical Taxonomy

Douglas Anderson, Elsevier

2:50-3:10pm Exhibits & Afternoon Break•Room: Atrium



TRACKSSOCIAl MedIA /

BeneFITS OF TexT AnAlyTICSRoom: Foothill G

KnOWledGe ORGAnIZATIOnRoom: Foothill E

3:10-3:55pmWorking with Knowledge Managers and Winning leaderships Support

Ramin Assa, Booz Allen Hamilton

Getting Started With Business Taxonomy – Unlocking the Keys to

Succcessful Information Management Zach Wahl, Project Performance Corporation

Semantic Metadata’s Two Types of Vocabularies

Joseph Busch, Taxonomy Strategies

4:00-5:00pm

expeRT pAnel•Room: Foothill GAccess Integrity, Cognition Technologies, Basis Technology, Saffron Technology

John Kuranz, Access Integrity, Inc.

Kathleen Dahlgren, Cognition Technologies

Andrew Paulsen, Basis Technology

Paul Hofmann, Saffron Technology

5:00-5:05pmConference Chair Closing Remarks•Room: Foothill G




Conference Floorplan

Exhibit Hall – Breaks – Lunch

SALON 1 & 2

SALON 3 & 4

SALON 5 & 6

SALON 15

SALON 14

SALON 13

SALONS 10-12

SALON 9

SALON 8

SALON 7

NOB HILLC & D

NOB HILLA & B

GOLDEN GATEBALLROOM B GOLDEN GATE

BALLROOM C2

GOLDEN GATEBALLROOM C3

GOLDEN GATEBALLROOM C1

GOLDEN GATEBALLROOM A

Speaker Registration

SponsorRegistration

AttendeeRegistration

WAL

NU

TRO

OM

LAURELROOM

JUNIPERROOM

Golden GatePre-function Area

Elevators

Elevators

Exhibit Hall

Speaker Registration

FOOTHILLD

FOOTHILLA

FOO

THILL

JFOOTHILL

I

CLUB ROOM

FOOTHILLE

FOOTHILLF

FOOTHILLG1

FOOTHILLG2

FOOTHILLH

ATRIUM LOBBY Resturant


Full AgendaWednesday April 17, 2013

Wednesday April 17, 2013

7:30-8:30am•Room: Atrium

Registration & Networking Breakfast

8:30-8:35am•Room: Foothill G

Conference Chair Welcome RemarksSpeaker: Tom Reamy, Conference Chair, Text Analytics World


Keynote

Full Spectrum Text Analytics: Integration of Text Mining and Text AnalyticsSession description is coming soon!

Speaker: Tom Reamy, Chief Knowledge Architect, KAPS group


Gold Sponsor Presentation

Gain Unprecedented Insight from text Sources“Every day, 3 times per second, we produce the equiv-alent of the amount of data that the library of Con-gress has in its entire print collection. But most of it is like cat videos on youTube or 13-year-olds exchang-ing text messages about the next Twilight movie.” — Nate Silver. To make decisions that create business value, you need to extract the knowledge embedded in the data. Imagine what could happen if you could extract relevant insight from financial news in real-time before you traded your stock. What if you could improve airline travel by responding to your customer tweets in their own language in real-time? The tech-nology exists. And you can take advantage of it. Join Byron Banks, VP of Information Management at SAP to discover how new technologies can help you turn Big Data into a big opportunity.

Speaker: Byron Banks, Vice President of Information Management, SAP


Five trends that Will Reshape the Comput-ing LandscapeFive trends have emerged that act as catalysts to the development of new types of information applica-tions. These are:

1. Probabilistic computing

2. learning systems

3. Big data and analytics

4. Complex highly integrated information platforms and InfoApps

5. Improved information interaction: contextual awareness and conversational systems

Text analytics are an indispensable part of this revo-lution. Sue Feldman, CEO of Synthexis, and former VP for Search and Discovery Technologies at IDC will discuss these trends, which are based on her book, The Answer Machine. This presentation will demonstrate the role that search, categorization, NlP, and text ana-lytics will play in the next generation of computing.

Speaker: Sue Feldman, Founder, Synthexis.com


Exhibits & Morning Coffee Break


track 1: SoCIAL MeDIA & BIG DAtA

Voice of the Customer

next Gen Voice of the Customer Using text AnalyticsThe Voice of the Customer industry borrowed survey technology from the market research world because it was the only way to listen to the voice of the customer. Text analytics has changed all that, and just in time. The combined forces of consumer review sites, social media, and survey fatigue are ganging up to put con-sumers in the position of dictating the dialog between themselves and companies. Voice of the Customer programs can no longer simply rely on the venerable survey. They need to listen to the customer’s voice in their own words and wherever the customer shares.

Speaker: Kurt Williams, CTO, Mindshare Technologies

TRACK 1 BIg DATA / SOCIAl MEDIA TRACK 2 ENTERPRISE TExT ANAlyTICS


10:30-11:15am•Room: Foothill E

track 2: enteRPRISe APPLICAtIonS

Knowledge Management

enterprise Knowledge Management Via text Search AnalyticsThis session will explore how Transomatic Corpora-tion applied process to capture and manage content within the enterprise intranets, end user work stations and hard copy documents to provide pervasive text search and analytics. We’ll also discuss how a major labor organization manages 40 years of accumulated knowledge.

Speaker: Cameron Zadeh, Executive Director, Transomatic Corporation

11:20-12:05pm•Room: Foothill G


Voice of the Customer

Content Intelligence – From What to Why Via Who, When and WhereWe’ll discuss content Intelligence, how it adds value to Big Data, the Social Enterprise, Risk & Compliance, Collaboration and Distribution (basically any process where information in unstructured content needs to be brought into play).

This presentation includes use of a wide range of case studies and experience from real customer implemen-tations. It features lessons learned, do’s and dont’s and shares proven return on investment evidence from various departmental and enterprise projects that Smart logic customers have given permission to share.

Speaker: Jeremy Bentley, CEO, Smart logic

11:20-12:05pm•Room: Foothill E


Knowledge Management

Industrial Knowledge organization: Capturing and Leveraging Knowledge from textIn the engineering services industry, field engineers routinely inspect, maintain and repair industrial ma-chinery. The engineer’s observations and diagnosis are often captured in unstructured form in the mainte-nance logs, amounting to several hundreds of giga-bytes. Technologies for mining these logs yield useful applications. For instance, a “tech assistant” applica-tion based on mining these logs assists field engineers in solving outstanding issues with the machinery, in-creasing workforce productivity. Eventually one can envisage “self-healing” systems wherein applications will automatically identify solutions to common recur-ring problems and apply the solutions automatically or with limited manual intervention.

Speaker: Mark Grabb, Technology leader, Analytics, gE global Research

12:05-1:00pm•Room: Atrium

Lunch



Text Analytics & Politics

Social networks Users’ Behaviors Analysis at the RevolutionRecently, Tunisia knew a pacific revolution, which had an impact on many Arabic countries. Tunisians demon-strated how to build a serene revolution without tra-ditional ingredients such as icons and ideologies, and showed how to start a real democracy. This serene rev-olution was a result of the rising of a relatively small, homogenous, and educated population aiming for de-mocracy and for a better life. In this work, we are in-terested in the analysis of the impact of this revolution



on the behavior of Tunisian people. For this purpose, we perform two main tasks: information collection, and post texts analysis and mining.

Speaker: Jalel Akaichi, Chair, Master’s of Science in Business Intelligence Program, University of Tunis



Search

Is Big Data Giving Us the Answer?While full-text search worked with large data collec-tions for some time, recent activity summarized as “Big Data” might represent a paradigm shift. While amassed data can yield many answers, a new question arises: do we need big data to query Big Data?

Speaker: Martin Baumgartel, Site Search Manager, Walt Disney



Text Analytics & Politics

Semantic Analysis of the Political Discourse in the Presidential and Congressional Campaigns of 2012The federal election campaign of 2012 is generally thought to be negative and to present challenges as we try to construct a new political reality for the future. The research reported semantically analyzes the political discourse of the 2012 Presidential and Congressional campaigns, focusing on several promi-nent candidates and political commentators. Seman-tic analysis integrates well established factors from the psychiatric and psychological literature, includ-ing anxiety, fear, hostility, aggressiveness, depression, happiness, vision, and contentedness. The results are compared to subjective human analyses of the cam-paign. Results highlight the value of objective analyti-cal methods and validated professional models.

Speaker: denise Bedford, goodyear Professor of Knowledge Management, College of Communication and Information, Kent State University



Search

Beehive: Semantic Search optimization at AutodeskProject Beehive’s objective is to deliver highly relevant content about how to use our products directly within the software, at point of need. As a part of this effort, the project initially has focused on enabling and opti-mizing search across numerous content silos leverag-ing ontologies to improve relevancy and to aggregate related content. The project has been scaled to accom-modate all customer facing content on Autodesk’s web sites, processing tens of millions of queries on a yearly basis. This presentation will discuss the business case for the project, technical infrastructure, the text analytics and ontologies.

Speakers: Tom Williams, Director – Experience & Engineering, Autodesk Knowledge Network, Autodesk

Shamik Bandopadhyay, Senior Search/Community Web Engineer, Autodesk

Michael Kilgore, Principal, InfoClear

Sunny yoon, Taxonomist, Autodesk


Exhibits & Afternoon Break



Advanced Text Analytics Techniques

ChatterBox — Visualizing text DiscussionsWith over 100 million active users worldwide, eBay receives a large amount of feedback and suggestions every day. eBay users form strong online communities through eBay’s Discussion Boards and also provides feedback on eBay’s mobile apps. eBay ChatterBox is a knowledge discovery application that automati-cally sifts through the oceans of text messages from multiple data sources, and presents the findings in



an aggregated visualization form. This tool applies many cutting-edge text mining techniques, such as su-pervised and unsupervised topic grouping, sentiment analysis, and keyword trending, so the users can get important information at a glance.

Speaker: xiaomei Zhu, Risk Analytics Manager, eBay



See Addendum For Details



Advanced Text Analytics Techniques

Sentiment trend Intelligence: Getting Ready for the FutureTrend emergence analytics remains a frontier practice area for social marketing and sentiment analysis. At the same time, a solid understanding of impactful con-versation can make the difference between prepared-ness and disaster for the enterprise. In this session, we will discuss the issues, technologies, and best practices for discovering new themes, providing a robust set of granular analytics around their social features, and delivering these patterns to a decision framework for social media.

Speaker: Hadley Reynolds, Managing Director, NextEra Research



New Applications

e-Discovery through text Mining: Fraud Detectionlarge fraud investigations cases present require analyz-ing huge amounts of textual data with a very vaguely defined objective. Investigators need to process a haystack, but they are not even sure what they need to be looking for: this might be a needle, but can be some other small thing as well. This case study out-lines key tasks and challenges a government agency has to address when looking for potential signatures of fraud in a large collection of subpoenaed corporate emails. We will outline a sequence of steps that lead to focusing attention of investigators on several thou-sand most relevant messages.

Speaker: Sergei Ananyan, CEO, Megaputer Intelligence


eXPeRt PAneL

Ask the Experts: SAS, Smart Logic, Expert System, Concept SearchingSession description is coming soon!

Speakers: Jeremy Bentley, CEO, Smartlogic

Bryan Bell, Vice President, Enterprise Solutions, Expert System

don Miller, VP of Sales, Concept Searching

Adam de Oliveira, Product Manager, SAS


Networking Reception



Thursday April 18, 2013


Registration & Networking Breakfast


Conference Chair Welcome RemarksSpeaker: Tom Reamy, Conference Chair, Text Analytics World


Keynote

Beyond a Bag of WordsStatistical text mining approaches typically treat text as an unordered “bag of words”, yet humans use context for understanding. We describe a group of techniques

for incorporating context into statistical text mining approaches and demonstrate the success of these ap-proaches on real-world problems including churn pre-diction, survey analysis, and disability approval.

Speaker: dr. Andrew Fast , Chief Scientist, Elder Research, Inc.


Industry WatchText analytics include four types of companies. This session will review the types of companies and an overview of several companies that represent each of the types: giants, Venture Capital Startups, Search Vendors and Semantic Technology Firms. The presen-tation will focus on which type of company to use for what particular analytics requirement.

Speakers: Steve Arnold

Constance Ard, Arnold IT


Full AgendaThursday April 18, 2013



Exhibits & Morning Coffee Break


track 1: SoCIAL MeDIA/BeneFItS oF teXt AnALytICS

Text Analytics Applications

Picture Perfect: Leveraging text Analytics to Suggest Stock Art for Web & Print ContentWhile designing Web or print publications, there is a typical requirement to place stock art at regular in-tervals to keep up reader engagement and break the monotony of text. Selecting relevant stock images is time-consuming and often involves collaboration between multiple individuals. There are copyright con-siderations as well: you cannot simply select any image that you come across. The requirement to maintain at-tribution for the images in use poses a challenge as well.

This presentation examines the use of natural lan-guage processing—particularly named-entity recogni-tion (NER) techniques—in suggesting context-aware, free-to-use, and well-attributed stock images for Web or print content.

Speaker: diana Joseph, learning Strategist, Adobe Systems

10:40-11:25am•Room: Foothill E

track 2: KnoWLeDGe oRGAnIZAtIon

Ontology-Based Applications

Allegrotext: text Mining with an RDF Graph DatabaseAllegroText is a framework that includes a web and news crawler, an automatic link to various entity ex-tractors, an enrichment module that uses the linked Open Data cloud and a scalable graph database. With this framework, one can track entities like people, products or organizations and provide detailed se-mantic and statistical analytics. We’ll discuss a practical application that detects risk in the supply chain of car manufacturers by finding how natural disasters or po-litical unrest might influence your supply chain.

Speaker: Jans Aasman, President and CEO, Franz Inc.



Conversations

Supporting two-Way Customer Interaction with Synergistic text Analytics and taxonomy and Metadata StrategiesThe ability to engage customers in a 2-way conversa-tion has transformed many business environments. Successfully navigating and utilizing these conversa-tions requires that organizations understand what customers are saying individually as well as in the aggregate. Text Analytics is critical to attaining this understanding, which must be rapidly leveraged to enable business response. A technical content strategy involving metadata and taxonomies supports this re-quirement by enabling content to be quickly deployed or reorganized to drive the conversation. In this talk, we expand on the benefits of utilizing text analytics in conjunction with taxonomies and metadata to directly support your customer interaction.

Speaker: Carol Hert, Senior Consultant, Factor



Auto-Categorization

From Print-First to Digital-Centric B2B Media with Automatic CategorizationHanley Wood has overhauled and streamlined their workflow from a print-first to digital-centric model using dynamic, metadata-driven websites integrated with data products, all with an increasingly lean staff. Automatic categorization, standardized controlled vo-cabularies, and categorization-driven aggregation have enabled organizational innovation at this a business-to-business media company that publishes more than 30 brands.

Speaker: Monica Fulvio, Senior librarian, Content Architecture, Hanley Wood


Lunch





Conversations

Using Context for Deep text AnalyticsWhen people communicate online, they use their knowledge of the world to talk creatively about every-thing from products to news. gaining meaning from this text means going beyond set keywords and ontol-ogies to a deep understanding of most of the explicit and implicit ways of communicating. We explain how concept-based text understanding solves this problem by using models of how people think about the world to reason about language without the use of rules, lex-icons, training, or ontologies. We discuss how common sense techniques which model how people think of the world can add context to text understanding.

Speaker: Catherine Havasi, CEO, luminoso



Auto-Categorization

transparent Rule-Based Systems for technology Assisted ReviewElectronic Discovery has seen an explosion of interest in using Text Analytics technologies for Technology As-sisted Review (TAR) with substantial savings in legal ex-penditures for enterprises. While much attention has been focused on machine learning based approaches to TAR, a number of other TAR methodologies show promise. Rules-based approaches, in particular, offer an alternative that is highly accurate while remaining simple, transparent, and defensible. A panel of experts will explain how rules-based technology assisted review differs from the usual paradigm and how it is used to support highly accurate, defensible document classification.

Speakers: Bruce Hedin, Principal Scientist, H5

Chris Hogan, Head of Advanced Research and Development, H5



Benefits of Text Analytics

Making text Analytics Payyou can deliver accurate analysis of customer senti-ment. So what?

your word cloud reflects brand image among twitter users. So what?

your interactive graphic dashboard enables explora-tion of concepts. So what?

Executives don’t want to follow the dots between your technology and their bank accounts. They want clear connections between what you can do and cold, hard cash.

In this session, you will learn:

•Why most current text analytics applications don’t mean squat to executives.

•What buttons to push when pitching text analytics to executives.

•How to identify text analytics applications that are good bets for strong ROI.

Speaker: Meta Brown, Independent Consultant



Taxonomy and Text Analytics

Automatic taxonomy Generation for a news GroupCreating and maintaining taxonomies for the news domain is a tedious task. Human experts spend many hours constructing taxonomies manually and generat-ing rules for assigning taxonomy concepts to newly published articles.

What if a taxonomy was generated automatically straight from the news articles? One wouldn’t have to worry about new terms and concepts appearing in the news, or categorizing the articles.



In this talk, Anna Divoli will present a case study on generating a taxonomy from articles published by the FairFax Media NZ. Pingar utilized text analytics tech-niques and linked Data sources to create a taxonomy focused on the current news.

Speaker: Anna divoli, Senior Software Researcher, Pingar




Capturing Acronyms for a Medical taxonomyAcronyms occupy a special place in medical litera-ture, and any medical taxonomy must include them. However, there are literally tens of thousands of acro-nyms, many with dozens of meanings. How do we find acronyms, how do we decide which ones we want, how do we keep them straight once we have them, and how do we make them available to applications? Find out how acronyms are handled for EMMeT, Else-vier’s Merged Medical Taxonomy, to make our applica-tions more intuitive to users.

Speaker: douglas Anderson, Knowledge Classification Specialist, Elsevier


Exhibits & Afternoon Break



Benefits of Text Analytics

Working with Knowledge Managers and Winning Leadership’s SupportText Analytics can play an important role in building and delivering robust knowledge management (KM) solutions. However, knowledge managers are either

unaware of Text Analytics’ capabilities or are unclear how to incorporate it into their KM frameworks and strategic roadmaps. In this session, Ramin Assa will explore some of the challenges knowledge managers experience and will provide possible options to forge partnerships between KM and Text Analytics experts to successfully address these issues. Ramin will also share insights on how to raise leadership’s knowledge management and Text Analytics’ acumen in order to establish and run sustaining knowledge organizations.

Speaker: Ramin Assa, Knowledge Management Manager, Booz Allen Hamilton




Getting Started With Business taxonomy – Unlocking the Keys to Successful Information ManagementBusiness users are more active than ever in the pub-lication and consumption of information. From big data, to social computing, to content and document management, more information is being generated and thus the need to effectively manage and retrieve that information is all the more critical. Business tax-onomies present an integral component of this infor-mation management solution. This presentation will provide best practices and a proven approach for the design and development of intuitive and sustainable taxonomies that will serve today’s information man-agement efforts and will offer a series of real world examples from the public and private sectors.

Speaker: Zach Wahl, Vice President, Project Performance Corporation






Semantic Metadata’s two types of VocabulariesSemantic metadata is metadata that is expressed using a standard syntax that can be commonly processed by applications and tools. This talk will focus on: the two types of vocabularies involved with semantic meta-data, the class-attribute vocabulary, and the value vocabulary. We will explain why the most common vo-cabularies in the linked data cloud are Dublin Core, FOAF and SKOS; and how canonical lists of named en-tities (people, organizations, places, events and things) are being used to power new semantic services on web search engines, news websites and online shopping.

Speaker: Joseph Busch, Founder, Taxonomy Strategies


eXPeRt PAneL

Access Integrity, Cognition Technologies, Basis Technology, Saffron TechnologySession description is coming soon!

Speaker: John Kuranz, CEO, Access Integrity, Inc.

Kathleen dahlgren, Co-Founder and CTO, Cognition Technologies

Andrew paulsen, Regional Director, Basis Technology

paul Hofmann, Chief Strategy Officer, Saffron Technology


Conference Chair Closing RemarksSpeaker: Tom Reamy, Conference Chair, Text Analytics World

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Workshops

Sunday, April 14, 2013

Full Day: 9:00am – 4:30pmRoom: Salon 5 & 6

R for Predictive Modeling: A Hands-on Introduction

Instructor

Max Kuhn Director, Nonclinical StatisticsPfizer

Intended AudiencePractitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.”

Knowledge levelEither hands-on experience with predictive modeling (without R) or hands-on familiarity with any program-ming language (other than R) is sufficient background and preparation to participate in this workshop.

Workshop descriptionThis one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to me-thodically expose attendees to best practices driving R and its rich set of predictive modeling packages, pro-viding hands-on experience and know-how. R is com-pared to other data analysis platforms, and common pitfalls in using R are addressed.

The instructor, a leading R developer and the creator of CARET, a core R package that streamlines the process for creating predictive models, will guide attendees on hands-on execution with R, covering:

•A working knowledge of the R system

•The strengths and limitations of the R language

•Preparing data with R, including splitting, resampling and variable creation

•Developing predictive models with R, including decision trees, support vector machines and ensemble methods

•Visualization: Exploratory Data Analysis (EDA), and tools that persuade

•Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting

Hardware:

Bring your Own laptop

Each workshop participant is required to bring their own laptop running Windows or OS x. The software used during this training program, R, is free and readily available for download.

Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.

Schedule•Workshop starts at 9:00am

•Morning Coffee Break at 10:30am – 11:00am

•lunch provided at 12:30pm – 1:15pm

•Afternoon Coffee Break at 2:30pm – 3:00pm

•End of the Workshop: 4:30pm


Workshops

Tuesday, April 16, 2013

Full Day: 9:00am – 4:30pmRoom: Foothill E

Making text Mining Work: Practical Methods and Solutions

Instructor

dr. Andrew FastDirector of ResearchElder Research, Inc.

A free copy of Dr. Fast’s book on practical Text Mining is included.

Intended AudiencePractitioners seeking tools to analyze unstructured text data.

Knowledge levelNo previous experience required though some techni-cal background in statistics or predictive analytics will be useful.

Attendees will receive an electronic copy of the course notes via USB drive.

Workshop descriptionIn their 2011 Hype Cycle report, gartner has Text An-alytics sliding into the “Trough of Disillusionment”, highlighting the difficulty of achieving its great promise. Despite this verdict, text mining and text ana-lytics can be valuable tools, if you know where to look for the solution. This workshop will address:

•The text mining solutions available now and the problems for which they are best suited

•Best practices in the key text mining areas

•How to set positive but realizable expectations for the return on investment of a text mining project

•This one-day session surveys standard and advanced methods for text mining.

Dr. Fast will describe the key inner workings of leading algorithms, demonstrate their performance with busi-ness case studies, compare their merits, and show how to pick the approach best suited for your project. Methods covered include search indexes, text classi-fication, information extraction, document similarity and more.

The key to successfully leveraging these methods is to find the right “hammer” for your text “nails” and un-derstand the limits of those techniques.

Dr. Fast will share his experience mining text on real-world applications in several fields, highlighting the range of available solutions and how to combine tech-nologies to maximize the value of the vast store of (untapped) unstructured data.

If you’d like to become a text mining practitioner – or if you already are, and would like to hone your knowl-edge across methods and best practices, this workshop is for you!

What you will learn

•The tremendous value of learning from unstructured textual data

•How to choose the proper text mining solution

•Text mining best practices

Schedule•Workshop starts at 9:00am

•First AM Break from 10:00am – 10:15am

•Second AM Break from 11:15am – 11:30am

•lunch from 12:30pm – 1:15pm

•First PM Break from 2:00pm – 2:15pm

•Second PM Break from 3:15pm – 3:30pm

•Workshops ends at 4:30pm

Attendees receive a free copy of Andrew Fast’s book on practical Text Mining, an electronic copy of the course notes via USB drive, and an official certificate of completion at the conclusion of the workshop


Workshops

Tuesday, April 16, 2013

Three hours: 6:30pm – 9:30pmRoom: Foothill E

Mapping Groups of People and What they are talking About in Social Media

Instructor

Marc A. SmithPh.D. Chief Social ScientistConnected Action Consulting group

Intended AudienceSocial media managers and analysts, marketers, col-laboration and enterprise IT, advertisers, event plan-ners, journalists.

Knowledge level:All skill levels, beginners particularly welcome. Should have an interest in social media. Any experience with a spreadsheet is a plus!

Workshop descriptionSocial media conversations are clumpy. People tend to follow and reply to people who share their views so distinct clusters emerge in many social media discus-sions. Often these sub-groups have distinct ways of using language, point to different URls, and mention different hashtags, even when talking about the same topic. Simple, free and open tools can now collect and analyze these clusters of discussion, highlighting the contrasting themes in the conversation. learn how to perform key tasks like:

•Collect social media data from Twitter, Facebook, youTube, email, flickr, WWW, message boards and other data sources

•Analyze social media network data using clustering, network metrics, and visualization

•generate summaries of text, word usage, URls, hahstags, and usernames

•leverage network insights to improve engagement in conversations

This evening session provides a quick end-to-end guide to creating a social media network map with content analysis using free and open tools. Dr. Smith will dem-onstrate how text from social media can be clustered by applying social network techniques. An entertain-ing review of social science concepts and tools will provide the context for understanding social media in terms of networks.

If you can make a pie chart, new tools like the free and open Nodexl (http://nodexl.codeplex.com) make it almost as easy to make a network chart.

If you would like deeper understanding of the social media landscape around your business and brands, this workshop is for you.

What you will learn:

•Basic concepts of network analysis

•How to apply network analysis to social media

•How to summarize the discussion of multiple groups in social media

•How to identify key influential people and leading sub-groups

Schedule•Workshop starts at 6:30pm

•6:30pm Mapping PAWCON: a guide to network mapping of social media topics

•7:30pm Network concepts: key ideas for understanding collections of connections

•8:30pm Social Media Networks: data collection, automated analysis, summarizing text

•Workshops ends at 9:30pm


Workshops

Friday, April 19th • 9:00am-4:30pm

Saturday, April 20th • 9:00am-12:00pm

1 ½ Day SessionRoom: Foothill D

net Lift Models: optimizing the Impact of your Marketing

Instructor

Kim larsenVice President of Analytical Insights MarketShare

Intended AudienceStatisticians, business analysts, and market researchers who build predictive models for marketing and reten-tion campaigns.

Response modeling is the wrong modeling! Whatever your response rate, what about those customers who would have purchased anyway without expending the cost of contact? If retention offers targeted by a churn model save some customers, what about the “casual-ties,” i.e., the customers who respond adversely to this contact but who would have stayed if left alone? Net lift modeling, a.k.a. uplift, incremental lift or true lift modeling, addresses these very issues.

Workshop descriptionThe true effectiveness of a marketing campaign isn’t response rate, it is the incremental impact – that is, ad-ditional revenue directly attributable to the campaign that would not otherwise have been generated. yet traditional targeting criteria are often designed to find clients that are interested in the product, but would have bought it anyway, whether or not they received a promotion. In such cases, the incremental impact is insignificant and the marketing dollars could have been spent elsewhere.

Net lift Models are designed to maximize incremen-tal impact by targeting the undecided clients that can be motivated by marketing. These “swing customers” are akin to the swing states of a political election; data miners could learn a lot from political campaigns.

Beyond targeted marketing, Net lift methodology delivers tremendous performance improvements for deployed churn models – retaining “savables” while avoiding the adverse “reverse” affects retention out-reach triggers for some customers – as well as other innovative business applications of this advanced ana-lytical method.

This workshop demonstrates how to build Net lift Models that optimize the incremental impact of mar-keting campaigns, covering the pros and cons of various core analytical approaches.

you Will learn How To:• Build net lift models that maximize the difference

in response rates between the clients who receive the offer and those that do not (the control group)

• Identify good incremental lift predictive variables

• Build net lift models using a variety of techniques

• Evaluate and deploy net models

Specific Topics Covered Include:• Net lift models versus propensity models

• Example net lift models in action

• Comparison of net lift modeling approaches, including regression- and non-regression-based methods, and the generalized Naive Bayes Classifier

Access to working code and real examples. In order to illustrate net lift modeling in action and provide options for “take-home” usage, the instructor will provide 1) example datasets and 2) examples of code implement-ing incremental lift modeling methods, including the following SAS macros: INCREMENTAl, INFORMATION, gNBCREg, NWOE (net weight of evidence), and NIV (net information value).

While very advanced attendees may optionally bring their own laptop and software to try out net lift model-ing during the workshop, this concentrate topics course does not include enough time for guided hands-on in-struction; it is not designed or intended as a “hands-on” training program.

This workshop is offered in cooperation and special ar-rangement with SAS Institute.

Schedule• Coffee breaks and lunch are included on both days

• Attendees receive a copy of the course materials book at the beginning of the workshop


Online Workshop

Online Workshop

Full Day: 9:00am – 4:30pm

Predictive Analytics Applied – An online Introduction

Instructor

eric Siegel ph.d. Founding ChairText Analytics World

New to predictive analytics? Take this online course to ramp up..

Online 5 ½-Hour Training program• On-demand at any time – start now for 3 months

of access

• Self-paced e-learning – at your convenience

• Internationally-friendly – taken from over 16 countries

Intended Audience• Managers. Project leaders, directors, CxOs, vice

presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities.

• Marketers. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell.

• Technology Experts. Analysts, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics.

Knowledge levelNo background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent.

Attendees will receive 3 months of unlimited online access, a course materials book, and a certificate of completion.

Workshop descriptionBusiness metrics do a great job summarizing the past. But if you want to predict how customers will respond in the future, there is one place to turn — predictive analytics. By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: action-able predictions for each customer. These predictions encompass all channels, both online and off, foresee-ing which customers will buy, click, respond, convert or cancel. If you predict it, you own it.

The customer predictions generated by predictive ana-lytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketing and customer care recommenda-tions, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to.

Predictive Analytics Applied is a self-paced online course instructed by the founding chair of Predictive Analytics World that covers the following topics:

Applications: Business, marketing and web problems solved with predictive analytics. The many ways its pre-dictions can be used to drive various business decisions.

Core Technology: How a predictive model works and how it’s created. What a predictive model looks like under the cover. What data is required for predictive modeling.

evaluation: How well a predictive model works and how much revenue it generates

Management: Project leadership and business process for predictive analytics; the organizational challenges and how to overcome them.

Illustrations: live demos and detailed case studies

Hands-on: “get your hands dirty” with a revealing Ex-cel-based exercise, bringing a predictive model to life and seeing it improve before your eyes.

To get more information or to register for this course, go to:

www.textanalyticsworld.com/sanfrancisco/2013/registration


Keynote Bios

For more speaker bios, please visit www.textanalyticsworld.com/sanfrancisco/2013/speakers.php

Tom Reamy

Chief Knowledge ArchitectKApS Group

Tom Reamy is currently the Chief Knowledge Architect and founder of KAPS group, a group of knowledge architecture, taxonomy, and text analytics consul-tants. Tom has 20 years of experience in information architecture, enterprise search, intranet management and consulting, education software, and text analyt-ics consulting. Tom’s academic background includes a Master’s in the History of Ideas, research in artifi-cial intelligence and cognitive science, and a strong background in philosophy, particularly epistemology. He has published articles in various journals and is a frequent speaker at knowledge management confer-ences. When not writing or developing KM projects, he can usually be found at the bottom of the ocean in Carmel taking photos of strange creatures.

Keynote: Full Spectrum Text Analytics: Integration of Text Mining & Text Analytics

Dr. Andrew Fast

director of Researchelder Research, Inc.

Dr. Andrew Fast leads research in Text Mining and Social Network Analysis at Elder Research, the nation’s leading data mining consultancy. ERI was founded in 1995 and has offices in Charlottesville VA and Wash-ington DC, (www.datamininglab.com). ERI focuses on Federal, commercial, investment, and security applica-tions of advanced analytics, including stock selection, image recognition, biometrics, process optimization, cross-selling, drug efficacy, credit scoring, risk manage-ment, and fraud detection.

Dr. Fast graduated Magna Cum laude from Bethel University and earned Master’s and Ph.D. degrees in Computer Science from the University of Massachu-setts Amherst. There, his research focused on causal data mining and mining complex relational data such as social networks. At ERI, Andrew leads the develop-ment of new tools and algorithms for data and text mining for applications of capabilities assessment, fraud detection, and national security.

Dr. Fast has published on an array of applications includ-ing detecting securities fraud using the social network among brokers, and understanding the structure of criminal and violent groups. Other publications cover modeling peer-to-peer music file sharing networks, understanding how collective classification works, and predicting playoff success of NFl head coaches (work featured on ESPN.com). With John Elder and other co-authors, Andrew has written a book on Practical Text Mining, to be published in January, 2012.

Keynote: Beyond a Bag of Words


exhibitor Floorplan

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3

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11

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ATRIUMLOBBY

BAR

FOOTHILL H

FOOTHILL G2

FOOTHILL G1

FOOTHILL FFOOTHILL EFOOTHILL D

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BrandVerity ..................................................................................... T2Expert System ............................................................................... T10HasOffers ........................................................................................ T4linkConnector ................................................................................ T3Performance Marketing Association ............................................. T1SAP global Marketing .................................................................. T11Smartlogic .................................................................................... T13The Search Monitor ........................................................................ T5University of San Francisco, Master of Science in Analytics ....... T12


Thank you To Our Sponsors

GOld SpOnSOR

BROnZe SpOnSORS

MedIA pARTneRS


Sponsor profiles

GOLD SPONSOR

SAP www.sap.comBooth: T11

As market leader in enterprise application software, SAP helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable more than 197,000 customers to operate profitably, adapt continuously, and grow sustainably.

BRONZE SPONSORS

Smart Logic www.smartlogic.com Booth: T13

Smartlogic

University of San Francisco www.usfca.edu Booth: T12

The University of San Francisco’s School of Management educates students to build more productive and compassionate organizations. The

School of Management is a catalyst for change in business, government and non-profit managerial practice. Our students are challenged to connect critical thought with purposeful action, to go beyond their rigorous academic curriculum to develop ethical management practices. Our students emerge with the desire to change the world and the skills to be able to do so.

Expert System www.expertsystem.net Booth: T10

Expert System is the semantic software company that specializes in helping organizations gain insight and intelligence from information. The patented Cogito semantic technology is at the heart of all Expert System products, powering solutions that, by increasing effectiveness in acquiring, transforming and interpreting text-based information, unlock the value of big data for better decision making. The products and solutions based on Cogito include: semantic search, natural language search, text analytics, development and management of taxonomies and ontologies, automatic categorization, extraction of data and metadata, and natural language processing. Customers include Chevron, Eni group, ANSA, Telecom Italia, Microsoft and Raytheon.


MEDIA PARTNERS

Customer Think www.customerthink.com

Customer Think is a global online community of business leaders striving to create profitable customer-centric enterprises. Each month, the site reaches over 200,000 subscribers and visitors from 200 countries via email, RSS, linkedIn and Twitter. CustomerThink currently serves over 80,000 visitors per month. Our main areas of coverage are Customer Relationship Management, Customer Experience Management and Social Business. This is the place to learn about every facet of customer-centric business management in articles, blogs, interviews, and news.

IT Briefcase www.itbriefcase.net

IT Briefcase is a focused online publication that attracts business and IT professionals who are actively researching business integration solutions.

Our growing audience can expect to view the most up to date industry news, articles, whitepapers, webcasts, and blogs in additional to IT Briefcase original editorial content showcased in the “Fresh Ink” and “IT Analyst Blog” sections of our website. Some of the topics we cover include Data and Analytics, Cloud Computing, Application Integration, Health IT and Open Source.

SmartDataCollective www.smartdatacollective.com

SmartData Collective, an online community moderated by Social Media Today, provides enterprise leaders access to the latest trends in Business Intelligence and Data Management. Our innovative model serves as a platform for recognized, global experts to share their insights through peer contributions, custom content publishing and alignment with industry leaders. SmartData Collective is a key resource for executives who need to make informed data management decisions.

Sponsor profiles

EVENTS CALENDAR

www.risingmedia.com

www.emetrics.org

Chicago - June 10-13, 2013Sydney - June 25-26, 2013Boston - Sept 29 - Oct 3, 2013Stockholm - October 14-15, 2013London - October 23-24, 2013Berlin - November 4-5, 2013........................

www.predictiveanalyticsworld.com

Chicago - June 10-13, 2013PAWGOV September 18-19, 2013Boston - Sept 29 - Oct 3, 2013London - October 23-24, 2013Berlin - November 4-5, 2013........................

www.textanalyticsworld.com

Boston - October 2-4, 2013........................

www.conversionconference.com

Paris - June 6, 2013Chicago - June 10-13, 2013Boston - Sept 29 - Oct 3, 2013London - October 23-24, 2013Berlin - November 4-5, 2013........................

www.integratedmarketingsummit.com

Chicago - June 10-13, 2013

www.affiliatemanagementdays.com

London - May 15-16, 2013

........................

www.admonstersops.co.uk

London - April 23, 2013Berlin - June 02-04, 2013November 22, 2013

........................

www.buildingbusinesscapability.com

Sydney - September 9-12, 2013Las Vegas - November 11-15, 2013

........................

www.searchmarketingexpo.com

London - May 14-16, 2013Paris - June 6-7, 2013Stockholm - October 14-15, 2013

........................

www.semtechbizsf2013.semanticweb.com

Berlin - September 2013

........................

www.socialmediaeconomy.de

Munich - November 11-12, 2013

www.socialgamingsummit.de

Berlin - May 14-15, 2013London - November 21, 2013

........................

www.devcon.allfacebook.de

Berlin - November 2013

........................

www.marketingcon.allfacebook.de

Munich - April 29, 2013Berlin - November 2013

.......................

www.semphonic.com/x-change/europe

Berlin - June 11-12, 2013

........................

www.webeffectivenessconference.com

Europe - June 5-6, 2013USA - September 2014

.......................

www.contextconference.comChicago- June 11-13, 2013

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