Reading Metadata Between the Lines - Searching for Stories, People, Places and More: Presented by...

Reading Metadata Between the Lines:

Searching for Stories, People, Places and More

in Television News

Kai Chan Social Sciences Computing

University of California, Los Angeles [email protected]

What We Do with Television News

Make Metadata Searchable


cap$on THESE RECALLED CARS ARE AMONG THE MOST POPULAR FOR THE PAST 12 YEARS.


cap$on (searchable)

THESE RECALLED CARS ARE AMONG THE MOST POPULAR FOR THE PAST 12 YEARS.


metadata

cap$on (searchable)



metadata (not searchable)

cap$on (searchable)


Story Segment

Story 1 Story 2

Story Segment

Name Entity Name: John McCain Role: US Senator Party: Republican

Name: Greta Van Susteren Role: Anchor Network: Fox News Channel

Name Entity

NJ Governor: coopera$on from US President “outstanding”, “deserves great credit”

Republican Democrat praise (!)

Non-Verbal Communication

On-Screen Text

1. Help Users Search

Define Metadata Structure

Tag AQribute Name: Value

AQribute Name: Value

AQribute Name: Value

Start Time End Time

Define Metadata Structure

SEG Type: Headline

Topic: Ebola Scare

Country: US

1:00:00 1:03:00 (story segment)

start $me end $me tag aQributes

Search in Multiple Places

Offer Suggestions

2. Make the Search Happen

Map to Documents and Fields

SEG_Topic: Ebola Scare

NER_Name: John McCain

NER_Role: Senator

fields

SEG_Type: Headline

(program info, cap$on)

document

NER_State: Arizona




NER_Role: Senator

fields

SEG_Type: Headline


document

NER_State: Arizona

NER_Name: John Chiang

NER_Role: Controller

NER_State: California

SEG_Topic: Drought

SEG_Type: Poli$cs

Define Semantics

+TEXT_Text:“drought” +NER_Role:“Senator” +NER_State:“California”

Query:

Define Semantics

Interpreta$on 1:

“drought”

$me

start end

Role: Senator State: California

start end

Define Semantics

Interpreta$on 2:

“drought”

$me

start end start end

“drought”


Define Semantics

Interpreta$on 3:

“drought”

$me

start end


Define Semantics

Interpreta$on 4:

“drought”

$me

start end





NER_Role: Senator

fields

SEG_Type: Headline


document

NER_State: Arizona

NER_Name: John Chiang



SEG_Topic: Drought

SEG_Type: Poli$cs

3. Make the Search Meaningful

Two Levels of Document

program document

tag document

tag document

tag document

1 document = 1 metadata instance


program document

tag document

tag document

tag document

1 document = 1 news program


program document

tag document

tag document

tag document

1. search metadata content


program document

tag document

tag document

tag document

2. lookup program document(s)


program document

tag document

tag document

tag document

3. filter by program informa$on


NER_Role: Senator

NER_State: Arizona

tag document

NER_Role: Senator

tag document tag document

Tag: NER


Tag: NER Tag: NER



match NOT match NOT match


Date

Network

Show

program document

NER_Role: Senator

tag document

Tag: NER


Filter by Metadata Boundaries

“drought”

$me

start end

“drought” “drought”

Role: Governor State: California

Filter by Metadata Boundaries

... EMERGENCY PLED TO THE STATE OF CALIFORNIA IN MAY TO CONSERVE WATER. >> THIS DROUGHT IS A BIG WAKE-UP CALL, A REMINDER. THE COUPLE SAYS THAT THEY NEED NO REMINDERS. ...

36:18

36:22 36:18 – 36:22 Tag: NER Name: Jerry Brown Role: Governor State: California

36:19

4. Make the Search More Powerful

Proximity Search – Word as Unit

... >> THIS DROUGHT IS A BIG WAKE-UP CALL, A REMINDER. THE COUPLE SAYS THAT THEY NEED NO REMINDERS THEY DO ADMIT THAT THEIR LAWN HAS BECOME A BIT UNSIGHTLY. ...

posi$on 100

posi$on 121

20 words

Proximity Search – Time as Unit

... >> THIS DROUGHT IS A BIG WAKE-UP CALL, A REMINDER. THE COUPLE SAYS THAT THEY NEED NO REMINDERS THEY DO ADMIT THAT THEIR LAWN HAS BECOME A BIT UNSIGHTLY. ...

36:19

36:25

6 s


metadata (not searchable)

cap$on (searchable)


Make Metadata Searchable – Accomplished

metadata (now searchable)

cap$on (searchable)


Thank you for coming!

Ques$ons or comments? My e-‐mail: [email protected]

Slides available at: hQp://bit.ly/lsr2014tvnews (or scan this barcode)

Reading Metadata Between the Lines - Searching for Stories, People, Places and More: Presented by...

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