The Resource Crime pattern detection using online social media, by Raja Ashok Bolla

Crime pattern detection using online social media, by Raja Ashok Bolla

Label
Crime pattern detection using online social media
Title
Crime pattern detection using online social media
Statement of responsibility
by Raja Ashok Bolla
Creator
Author
Subject
Language
eng
Summary
"In this research, we show online social networks can be used to study crime detection problems. Crime is defined as an act harmful not only to the individual involved, but also to the community as a whole. It is also a forbidden act that is punishable by law. Crimes are social nuisances that place heavy financial burdens on society. Here we look at use of data mining followed by sentiment analysis on online social networks, to help detect the crime patterns. Twitter is an online social networking and microblogging service that enables users to post brief text updates, also referred to as "tweets". These updates can convey important information about the author. A filter was designed to extract tweets from cities deemed to be either the most dangerous or the safest in the United States (US). A geographic analysis revealed a correlation between these tweets and the crimes that occurred in the corresponding cities. Over 100,000 crime-related tweets were collected over a period of 20 days. Sentiment analysis techniques were conducted on these tweets to analyze the crime intensity of a particular location. This type of study will help reveal the crime rate of a location in real-time. Although the results of this test helped in detecting crime patterns, the sentiment analysis techniques did not always guarantee the proper results. We conclude with applications of this type of study and how it can be improved by applying media to text processing techniques"--Abstract, page iii
Member of
Cataloging source
UMR
http://library.link/vocab/creatorDate
1990-
http://library.link/vocab/creatorName
Bolla, Raja Ashok
Degree
M.S.
Dissertation year
2014.
Granting institution
Missouri University of Science and Technology
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Online social networks
  • Social media
  • Crime prevention
  • Criminal investigation
Label
Crime pattern detection using online social media, by Raja Ashok Bolla
Instantiates
Publication
Note
Vita
Bibliography note
Includes bibliographic references (pages 33-34)
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Control code
902730358
Extent
1 online resource (viii, 35 pages)
Form of item
online
Governing access note
These materials are protected under copyright by the original author
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Other physical details
color illustrations.
Specific material designation
remote
System control number
(OCoLC)902730358
Label
Crime pattern detection using online social media, by Raja Ashok Bolla
Publication
Note
Vita
Bibliography note
Includes bibliographic references (pages 33-34)
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier.
Content category
text
Content type code
txt
Content type MARC source
rdacontent.
Control code
902730358
Extent
1 online resource (viii, 35 pages)
Form of item
online
Governing access note
These materials are protected under copyright by the original author
Media category
computer
Media MARC source
rdamedia.
Media type code
c
Other physical details
color illustrations.
Specific material designation
remote
System control number
(OCoLC)902730358

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