Minds insight service_introduction_v1.0

Big data Analytics Web Platform Service September 2015

Big Data & Machine Learning

Big data Analytics Web Platform Service

Intro of Minds Insight Service

My Biz.

M.I. (Market Intelligence)

Search

News

Tailored Service

Contents

Social Media & Big Data

15+ million new postings, 60+ new blogs

60 100,000+ tweets

700,000+ updates

600+ new videos

more and more

IN

SECONDS


Many companies face problems processing internal data

Limitation of system, limitation of knowledge

Survey of Global Companies with a year revenue of over 10 Billion Dollar <Research Service FT Remark of Financial Times Group 2013.08>

Revealed 84% of them Said, Data Analysis is Critical for Business Management!

96% of them said, Big Data Analysis is the Only Answer


Social Media is a place where you can listen to honest and vivid voice of Consumers

You can find many reliable conversations from social web. Collecting, Sorting, and Understanding their thoughts, Actions, desires, you can create a broader brand worth and awareness.

Why? Why Social Media & Big Data?

From Social Media, you can find diverse opinions on your company. It is critical to gather these information since these online Conversations impact how people view your company

Big Data Analytics Platform service provides real time data analysis and visualization. Advertisement agencies, C-Suite Management, Marketing/Account Executives, Media Companies are our main clients.

Clients

Company/Ad Agency/Consulting Firm

Membership Registration

Real-Time Big Data Analysis Through Minds Insight Web Platform

Providing Custom-Tailored Big Data Analysis Service

• Minds Insight Web Platform for Members

• Market Intelligence • Real-Time Keyword Search Analysis • Risk Alert • Document Analysis

Big Data Analytics Platform Service

Service Introduction

We collect, process, analyze data from social media as well as various medial channels using professional insight manufacturing cycle to help your business succeed through our various feedback processes such as Product/Service Innovation, Marketing & Consulting Strategy, Early Reputation Diagnosis/Defense, and Real-Time News/Event Monitoring

Service Introduction

Big Data Analytics Platform Service

Big Data Mining

Average Total 400+M ·Blog (10+ million) ·Twitter (400+ million) ·News (5+ million)

·External Data - Product Review Website - Forum/Community/Cafe - Certain Social/Web Data

+

·Internal Data - Various VOC - Transaction DB - Buyer/Member DB

+

Analysis & Insight Generation

Big Data Analytics Platform

·Big Data Analysis & Issue Extraction

·Data Visualization ·Insight Generation by Field ·Documentation & Reporting

Business Benefits Realization

Information analysis Web/App service

·Marketing & Consulting Big Data Driven Strategy Service

· Product/Service Innovation Product R&D Service Innovation

·Early Warning/Alert Reputation Alert

· Customer Service Response Innovation Reputation Alert

·News/Event/Influencer Live Monitoring

Big Data Analytics Platform Service <Landing Page>

<Log in _ Main Page>

Once you log into our Minds Insight website, you can view a main screen dashboard consisting of analyzed information for your company in a brief format in which you can monitor trends. .

MY BIZ. Based on core keywords, you can identify what consumers are saying about your company, consumer awareness and interest of your company, top ranked social media influencers, sentimental analysis of consumers, main events hosted by your company or competitors as well as real-time risk detection search management to help you respond quickly to potential risks.

1. Keyword Analysis

■Analysis of your preconfigured keywords

■View Keyword Frequency Trend by Date/Time

■Filter Your Analysis by News, Blog, Twitter

■Analyze Competitors Through Keywords used by consumers

■Download Excel Documents of Your Analysis

■View Original Documents

What are people talking about?

MY BIZ.

2. Sentimental Analysis

■Analyze Sentiments Associated with Keywords

■Perceive Overall Sentiment Associated with Keywords




Sentimental Analysis of Keywords

MY BIZ.


■Identify Particular Sentiments of Key Words

■Compare Different Sentiments Associated with Keywords




Identify the origins of particular sentiments

MY BIZ.


■View Consumer’s Particular Sentiment Frequency Trend

■Identify the origins of positive/negative sentiments




Frequency Trend of Sentimental Analysis

MY BIZ.

3. Event

■Event History Related to Your Brand

■Find Out About Main Competitor’s Events

■View Original Briefs for Each Event

■View Event-Related Original Documents (News)

Weekly/Monthly Event History

MY BIZ.

4. Influencers

■Influencers of Your Brand Reputation Provided By Rank

■Analyze Genuine Influencers to Identify Their Interests, Target Consumers

for Marketing Purpose.

■Identify Trends of Competitor Influencers By Date

■View Twitter Ranking, No. of Followers, Total No. of Tweets of Influencers

■View the Actual Tweets of Influencers By Rank

Who is Influencing Your Brand Reputation

MY BIZ.

5. Related Keyword Analysis

■View Brand-specific related keywords to analyze Consumer Awareness

Mind Map

■Categorized by 15 different categories to narrow your search

■Analysis of Related Keywords and Its Relevance

■Effective Analysis of your competitors through related keyword analysis

■3 step in-Depth Analysis to analyze consumer awareness mind map

Consumer Awareness Mind Map Per Keyword

MY BIZ.

6. Risk Detection

■Risk Detection/Monitoring Provided for Brand-Specific Core Keywords

■Effectively Respond to Risk Issues using Risk Detection by date/time

■Risk Detection based on Core Keywords as well as Keyword Frequency

■View Original Documents from Twitter, News, Blog by Risk Issues

■Effectively Compare and Analyze Risk Issues by Monitoring Your competitors’ Risk Issues

■ Once the risk is detected, Receive Real-Time Alert from Minds Insight Mobile App/Web to Respond Effectively to the Risk.

Real-Time Risk Monitoring and Response Management!

ALERT

Minds Insight Risk Detection

Risk Alert System Immediate Risk Analysis and Response per Issue

Original Document Available For each Data Channel


Market Intelligence provides an in-depth market analysis through industry specific consulting insight and analysis of industry specific keywords. With complete analyses of 25 different industries in our database, it helps you create market strategy and realize data driven marketing.

1. Analysis of Competition Relations

■Identify your main competitors in your industry

■Current Competition Composition and Frequency Trend Provided by Date/Time


■Analyze Consumer Perception of Competing Companies

Main competitors people are talking about

경쟁 빈도

■More competition there is between two companies. More red the color. Shows most actively discussed Competition by people.


2. Industry Trend Analysis

■Determine Consumer Awareness of Your Company Based on

Company Information

■Analysis of Industrial Key Words, Purchasing Channel Distribution,

Purchasing Channel mention Frequency Trend, Brand Sentiment.

■Easily Identify your industry’s specific trends by analyzing your

industry specific keywords.

■Develop Marketing Strategies by utilizing consumer awareness

analysis of your company




Where Are We Ranked In our Industry? <Industry Product Trend Analysis>


2. Industry Trend Analysis

<Industry Keywords> <Consumer Channel Mention Frequency

Distribution Trend> <Consumer Channel Trend>

<Consumer Channel Weight Distribution > <Brand Sentiment> <Industrial Issue Trend – Frequency of

Product Mentioned

■ Company product related key word ranking and relation frequency

■Comparison of Consumer Sentiments between different companies and products

■Strengthening of Marketing/Distribution Strategy Through Trend in consumer channel keyword Mentioned

■Identify Consumption Pattern through Product Consumer Channel Frequency Analysis

■Strengthening of Marketing/Distribution Strategy Through trend in distribution of keywords mentioned

■Strengthening core Product Selection through analyzing related product mentions


3. Client Configuration Analysis

■Identify gender proportion of your consumer base for your

product through product mentions




Consumer Base Configuration


4. Company Reputation Analysis

■Through Company and industry specific keywords, identify strengths and weaknesses of your company and product to create a better marketing strategy

■Multidimensional Reputation Analysis of Brand Effectiveness, Brand Reliability, and Brand Product Image




Strengths and Weaknesses and Company Image from Consumer Perspective

<Brand Reliability Analysis>

<Brand Product Image Analysis>

SEARCH

1. Keyword Search

■Through Company and industry specific keywords, identify strengths and

weaknesses of your company and product to create a better marketing

strategy

■Multidimensional Reputation Analysis of Brand Effectiveness, Brand

Reliability, and Brand Product Image




Read Market Trend from Real Time Keyword search and analysis

Unlike My Biz where it is pre configured with company specific key words, Minds Insight allows users to search any keyword real-time for analysis. It allows users to identify a broader consumer awareness analysis as well as sentimental analysis, influencer, and related keywords..

SEARCH

2. Influencer

■Real time analysis of particular sentiments

■Identify origins of particular

■View Original Documents to understand where the

sentiments are originating from


■Real Time Influencer Analysis By Ranking

SEARCH

4. Event

■Search Related Topics Real Time ■View original documents containing related topics

5. Related Keyword Analysis

■Daily/Monthly Related Event Analysis

6. Related Topics

■Real time related keyword analysis ■Identify market relations through 3-depth Related keyword analysis ■Sort through 15 different related keyword

categories.

NEWS

■Real time monitoring of company specific hot topics

■Real time monitoring of industry specific hot topics

■All the hot topics from Social Media

■Increased work efficiency through viewing visual and audio trend.


■View Original Documents containing hot topics

Identify Related Hot Topics Real Time

News service provides big data driven analysis of hot topics. In “My News”, you can view company-specific topics. In “Industry News, you can identify hot topics in your industry. In “Issue Briefing, you can view all the hot topics in social media. Lastly, in “Trending Reporting”, You can view visual and audio data trend as well as sentimental analysis of news.

My News

Industrial News

Issue Briefing

Trending Report

TAILORED SERVICES MINDS Insight offers big data analysis of web & app data as well as big data platforms custom-tailored for your company and industry. The platforms will provide a strategic analysis tailored for media information, and in-depth market analysis & consulting.

Distinguish your brand and company through customized big data analysis!

■Customized Platform& VOC Analysis Service

■Big Data Driven Communication Report ·Communication Guide Report ·Campaign Evaluation Report

■Consulting

·Big Data Analysis Consulting ·Trend/Brand/Marketing Consulting

■Media Analytics

·Big Data Analysis Consulting ·Trend/Brand/Marketing Consulting

■Date Feeding (Processing)

·Analyzed Information ·Original Documents on Brand/Trend

Key Technologies used in MINDs Insights Appendix

Key Technologies used in MINDs Insights

Natural Language Process

Morpheme Analysis

Split the collected document into the most meaningful units called Morpheme

신한/nc+은행/nc+이/jc 인터넷/nc+을/jc 통하/pv+어/ec 중도금/nc 대출/nc 서류/nc 작성/nc+을/jc 편리/nc+하/xsm+게/ec 하/px+ㄹ/etm 수/nb 있/pa+는/etm 서비스/nc+를/jc 마련/nc+하/xsv+었/ep+다/ef

Separate the collected documents to the text sentence by using sentence separation model based on machine learning.

“신한은행이 인터넷을 통해 중도금대출 서류 작성을 편리하게 할 수 있는 서비스를 마련했다” “복잡한 중도금대출을 온라인으로 신청·접수할 수 있는 중도금대출 온라인 신청 서비스를 시행한다고 25일 밝혔다”

Recognize the named entity included in the statement character, company name, place

<<OGG_Economy:신한/nc+은행/nc>>+이/jc 인터넷/nc+을/jc 통하/pv+어/ec 중도금/nc 대출/nc 서류/nc 작성/nc+을/jc 편리/nc+하/xsm+게/ec 하/px+ㄹ/etm 수/nb 있/pa+는/etm 서비스/nc+를/jc 마련/nc+하/xsv+었/ep+다/ef

Syntax Analysis

Distinguish the relation modification sentence structure in the sentence by verb, object, subject.

((((((신한은행이/NP_SBJ 인터넷을/NP_OBJ 통해)/VP (((중도금/NP 대출)/NP 서류)/NP 작성을)/NP_OBJ 편리하게/VP_AJT 할)/VP_MOD 수)/NP_SBJ 있는)/VP_MOD 서비스를)/NP_OBJ 마련했다)/ROOT

Divide Sentence

Entity Recognition

1

2

3

4

Strong Point

Language of ETRI developed based on a variety of language processing technology in University Institute and Know-How Reflects

Provide 170 classification of named entity recognition capabilities

Across each phase, apply a pre-processing /post processing for dictionary and rules. Effectively respond to new words and also applicable for treatment.


Text Mining Process

Related Word Analysis

The Frequency analysis whether the vocabulary emerges with other vocabulary

Vocabulary analyze whether the appearance at the same time as any other words in the sentence or document. Also aligned along a vocabulary that emerged in the types of objects and occurrences

It is detectable in significant words by weighting (Weight) for the time series by key words

Location of vocabulary (title / position within the body), in accordance with the direction of propagation channel characteristics, such as appearance frequency and persistence on the time series of vocabulary and vocabulary importance in determining the quality lexical priority to a specific period of time

The sentence on the basis of emotional expression patterns within the text analyzes the opinion that the meaning of the positive / negative or neutral.

Based on machine learning on a large emotional tagged corpus automatically learns the pattern weights pattern and emotion. Based on this and identify 20 kinds of positive / negative emotional details.

Event/ Risk Analysis

Detect an event associated with a particular event in the document. It analyzes the relationship between.

Product launches, enterprise mergers, earnings, extracts of important events based on events related templates and sentence syntax analysis and legal regulations.

Vocabulary Importance

Analysis

Sentimental Analysis

1

2

3

4

Features

Advanced text mining application of ETRI technology

Strength in unstructured documents such as social media analysis or phone consultation included short and epitaph

It provides scalability, and reliability for the large amounts of text data

Details Emotion, Risk detection, monitoring, and detection issues provides a variety of information, against competitors

In addition to emotional intensity frequency, language severity provides quantifiable information Issue Cluster

Analysis

Divided into groups of documents having a similar meaning a large amount of documents containing a specific keyword

Extract all the important keywords in the document, and the keywords based on the similarity distance between populations separated by a similar document meant. The screen labeled a keyword representing the groups.

5


Risk Detection and Monitoring

31

Risk Detection Model

Risk Detection

Risk Monitoring and

Utilization

Learning target document selection

Learning Objective Generating information

Learning Verification

Pattern candidate selection

Verification Pattern Model

Original Collection / pre-treatment

Language Analysis Sentimental

Analysis Risk Qualification

Extraction Risk Detection

Risk Qualification

DB Risk Type DB

Risk History DB

Events qualities Frequency qualities Emotional qualities Propagation qualities Life-cycle qualifications

Sentence detection Stemming Named entity

recognition Compound nouns

recognition Dependent parsing Relationship

Spam Filtering Adult Product filtering Replacement Filtering

Emotional vocabulary extraction

Give emotional strength

Summary of the situation

Monitoring History

Management

Utilization Risk destination Risk events / reasons Emotional Spectrum The frequency trends

frequency Emotional Spectrum Distributed network Spread by the media

Self-learning Case Based

Search Alert

Learning Model


Risk Detection and Monitoring

Agency / company

Conflict, competition, legal actions, court decisions, negative public opinion, lawsuits, protests against the law, information disclosure, sanctions, investigations, etc.

Person

Conflict, poor health, competition, legal actions, court decisions, negative public opinion, resignation requests, lawsuits, protests against the law, information disclosure, investigation, disciplinary action

Smart Device

Prices, defect, competition, negative public opinion, unlawful conduct, information disclosure, sanctions, sales decline

Food Prices, price declines, recall, negative public opinion, boycotts, illegal activity, hazardous products, sanctions, sales decline

Car Prices, defect, competition, recall, negative public opinion, sales decline

… …

▶ Risk Domain and Risk example

▶ Risk detection example

Original Document

xx Electronics recorded an “Earning shock” quarterly earning of 8 billion dollar in 4th quarter, 18.31% decrease from the previous quarter.

Extracted Risk Qualifies

[xx Electronics]-[Operation Profit-Reduction]-[Crisis Management] [xx Electronics]-[Earning Shock]-[Crisis Management]

Global Credit Audit Company Moody’s lowered xx Electronics credit rating.

[xx Electronics]-[Credit rating - drop]-[Crisis Management]

Last month xx Motor Company sold 413 Thousand cars (.3% decrease from last January), and oo Motor company solid 257 thousand cars (1.3% decrease) in Foreign market.

[xx Vehicle]-[Sales decreased]-[Sales decreased] [oo Vehicle]-[Sales decreased]-[Sales decreased]


Natural Language Process

Frequency Trend Original Document

Detection Keyword: Galaxy

Risk Alert


Issue Detection

Event Extraction Technology Example for Hot Issue Visualization

M o d u l e

NLP

Importance Analysis


Features

High-precision processing on the target document language

Sentence separation, morphological analysis, entity recognition

The location of Keywords information and the channel between the propagation direction, change the threshold value, the sensitivity analysis by the frequency of the frequency of persistence of keywords

The sensitivity analysis for the keyword within that period whether positive or negative

Automatically detect the relevant keyword in every given data source

Analyze not only simple frequency, but also the inlet channel keywords, identify keywords such as

location and significance

Object type, emotional, importance of the detected keywords are provided


Event Extraction

Event Extraction Technology Example for event visualization

Features

Define an event in the subject (Subject), type of event (Event-Property), objects (Object) that consist

of a set of triple templates (Triple)

Mergers and acquisitions, investments, earnings, legal regulations based on the events of 31 event Template, extract and recognize subject / object

associated with the event and the event



Details sensibility analysis technique Details sensibility visualization examples

features

Recognizing the sensitivity to the sentence units, nine kinds of positive emotions (self-confidence / touching / appreciation / anticipation / liking / joy / relief / trust / line) and 11 kinds of negative emotions (fear / anger / dislike / sadness / disappointment / shame / difficult /

sorry / envy / opposition / suspect) awareness

Based on statistics from the bulk of Emotional tagged sentences, it automatically learns a variety of

emotional patterns and weight

자동 추출된 감성 패턴 예시


Related keyword analysis

Related-word analysis skills Related word visualization examples

Features

At the same time it extracts a set of keywords or a document which appeared in the same sentence,

and thus can be selected depending on the type of object for the associated control

Stores the associated secondary control information, management can also help you get

information about the associated verb.

Morpheme Analysis

Entity Recognition

Extract related word in unit

sentence

Extract related work

in unit Document

Extract 2nd related word


Content-based auto-classification

Automatic content-based classification technology Content-based automatic classification example

a1

a2

a3

b3

b1

b2 c1

c3

c2

a1 b2 b3

<Deposit> <Loan> < Foreign Exchange >

a11 a12 …

MINDs Classifier

NLP Machin

Learning Sorter

… … Simple inquiry

Information change

non-classified documents

Details Modules

NLP

Category learning

Category

Feature

High-precision processing language for the target document classification

Sentence separation, morphological analysis, entity recognition, parsing

The latest machine learning model applied CRF(Conditional Random Fields) and SVM(Support Vector Machine)

Flat hierarchies structure and perform multi-category automatic classification

Contextual understanding through language analysis, high-performance technology

Provide a high degree of accuracy for the analysis of a specific region, such as a professional content VOC

Select the quality characteristics suitable for different areas (VOC, news, blogs, Twitter, etc.) of

the and can be expanded by utilizing them

classified documents

Copyright © 2015 Minds Lab. All rights reserved

463-100, 12F, U-Space 1-B, 660, Daewangpangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, Korea T.031-625-4340 F.031-625-4119 | www.mindslab.co.kr www.mindsinsight.co.kr

No part of this publication may be circulated, quoted, or reproduced for distribution outside the client organization without prior written approval.

Big Data & Machine Learning

The next frontier for innovation, competition and productivity

Minds insight service_introduction_v1.0

Technology

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