رکورد قبلیرکورد بعدی

" Opinion Detection, Sentiment Analysis and User Attribute Detection from Online Text Data "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 804277
Doc. No : TL49102
Call number : ‭1853205902;‮ ‬10191170‬
Main Entry : Makstenieks, Scott T.
Title & Author : Opinion Detection, Sentiment Analysis and User Attribute Detection from Online Text Data\ Kasturi BhattacharjeePetzold, Linda
College : University of California, Santa Barbara
Date : 2016
Degree : Ph.D.
field of study : Computer Science
student score : 2016
Page No : 142
Note : Committee members: Friedkin, Noah; Yan, Xifeng
Note : Place of publication: United States, Ann Arbor; ISBN=978-1-369-34001-3
Abstract : 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.
Subject : Computer science
Descriptor : Applied sciences;Data mining;Natural language processing;Online social network analysis;Opinion mining;Sentiment analysis;User attribute detection
Added Entry : Petzold, Linda
Added Entry : Computer ScienceUniversity of California, Santa Barbara
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