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car theft   |   Offence


Relational Network
Reference Time Series
References Per Million vs. Moving Average
News Sector Distribution
Reference Share by Type News vs. Business vs. Entertainment vs. Sports vs. Other
Sentiment Analysis
Polarity Ranks vs. Subjectivity Ranks
Juxtapositions for car theft
NameCoref./Ref.
target
burglary
robbery
theft
murder
Police
Heatmap
Juxtapositions for car theft:

Historic (2004-11-01 to 2010-02-16)
Rank Entity Name Count Score Coref./Ref.
1 target 6040 75495.0
2 burglary 2254 26390.4
3 robbery 1489 17004.1
4 theft 591 6838.9
5 murder 556 6542.9
6 Police 530 6271.7
7 Click Here 430 6186.3
8 The National Insurance Crime Bureau 336 5087.0
9 Neal Rubin 336 4909.7
10 arson 283 4189.0
11 rape 224 3371.1
12 Laurence Lovette 189 2560.9
13 bank robbery 157 2467.3
14 Joshua Steven Durcho 176 2361.8
15 Semaj 166 2344.9
365 days (2009-02-16 to 2010-02-16)
Rank Entity Name Count Score Coref./Ref.
1 target 5960 66373.2
2 burglary 569 7138.1
3 Click Here 430 5543.6
4 robbery 447 5541.8
5 The National Insurance Crime Bureau 336 4584.8
6 Neal Rubin 336 4407.5
7 theft 221 3164.7
8 murder 204 2686.0
9 Police 209 2375.3
10 rape 112 1949.6
11 Press Complaints Commissions Code 100 1459.9
12 Jorge Sanchez Santiago 70 1353.4
13 Street View 96 1227.7
14 Links We Like 90 1224.1
15 Fortune 60 1189.5
30 days (2010-01-17 to 2010-02-16)
Rank Entity Name Count Score Coref./Ref.
1 target 4200 33765.8
2 burglary 70 1011.3
3 Links We Like 90 914.7
4 Fortune 30 517.0
5 robbery 30 468.7
6 Vancouver Columbian 20 334.5
7 Hahaha 20 330.8
8 Paul Schene 20 325.1
9 Christopher A. Woodrum 20 316.1
10 King County 20 294.2
11 20 minutes 10 183.3
12 James Ward 10 183.3
13 Ocean Grove Home Owners Association 10 183.3
14 Summit Boulevard 10 183.3
15 Summit Place Circle 10 183.3
Popularity Time Series:

References Per Million vs. Moving Average (log|linear)

Reference Share by Type News vs. Business vs. Entertainment vs. Sports vs. Other
Sentiment Analysis for car theft:

Polarity Ranks vs. Subjectivity Ranks
Positive Raw Counts vs. Negative Raw Counts (log|linear)
Where is car theft HOT?:


Relational Network:


Also known as: car theft, IN THE CAR THEFT, IN CAR THEFT, Car-theft, Car theft, Car Theft, CAR-THEFT, CAR theft, CAR THEFT.
Generated on 25th February 2010 08:26
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Computer Science Department at Stony Brook University
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