عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL49102
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Opinion Detection, Sentiment Analysis and User Attribute Detection from Online Text Data
General Material Designation
[Thesis]
First Statement of Responsibility
Kasturi Bhattacharjee
Subsequent Statement of Responsibility
Petzold, Linda
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
University of California, Santa Barbara
Date of Publication, Distribution, etc.
2016
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
142
GENERAL NOTES
Text of Note
Committee members: Friedkin, Noah; Yan, Xifeng
NOTES PERTAINING TO PUBLICATION, DISTRIBUTION, ETC.
Text of Note
Place of publication: United States, Ann Arbor; ISBN=978-1-369-34001-3
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
Ph.D.
Discipline of degree
Computer Science
Body granting the degree
University of California, Santa Barbara
Text preceding or following the note
2016
SUMMARY OR ABSTRACT
Text of Note
With the growing increase in the use of the internet in most parts of the world today, users generate significant amounts of online text on different platforms such as online social networks, product review websites, travel blogs, to name just a few. The variety of content on these platforms has made them an important resource for researchers to gauge user activity, determine their opinions and analyze their behavior, without having to perform monetarily and temporally expensive surveys. Gaining insights into user behavior enables us to better understand their likes and dislikes, which in turn is helpful for economic purposes such as marketing, advertising and recommendations. Further, owing to the fact that online social networks have recently been instrumental in socio-political revolutions such as the Arab Spring, and for awareness-generation campaigns by MoveOn.org and Avaaz.org, analysis of online data can uncover user preferences.
TOPICAL NAME USED AS SUBJECT
Computer science
UNCONTROLLED SUBJECT TERMS
Subject Term
Applied sciences;Data mining;Natural language processing;Online social network analysis;Opinion mining;Sentiment analysis;User attribute detection
PERSONAL NAME - PRIMARY RESPONSIBILITY
Makstenieks, Scott T.
PERSONAL NAME - SECONDARY RESPONSIBILITY
Petzold, Linda
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Subdivision
Computer Science
University of California, Santa Barbara
LOCATION AND CALL NUMBER
Call Number
1853205902; 10191170
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
