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Sentiment analysis using product review data
by
Zhan, Justin
, Fang, Xing
in
Analysis
/ Big Data
/ Classification
/ Communications Engineering
/ Computational Science and Engineering
/ Computer Science
/ Contrarian investing
/ Data mining
/ Data Mining and Knowledge Discovery
/ Database Management
/ Electronic commerce
/ Experiments
/ Information Storage and Retrieval
/ Investment advisors
/ Mathematical Applications in Computer Science
/ Methodology
/ Natural language processing
/ Networks
/ Polarity
/ Product reviews
/ Sentiment analysis
2015
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Sentiment analysis using product review data
by
Zhan, Justin
, Fang, Xing
in
Analysis
/ Big Data
/ Classification
/ Communications Engineering
/ Computational Science and Engineering
/ Computer Science
/ Contrarian investing
/ Data mining
/ Data Mining and Knowledge Discovery
/ Database Management
/ Electronic commerce
/ Experiments
/ Information Storage and Retrieval
/ Investment advisors
/ Mathematical Applications in Computer Science
/ Methodology
/ Natural language processing
/ Networks
/ Polarity
/ Product reviews
/ Sentiment analysis
2015
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Do you wish to request the book?
Sentiment analysis using product review data
by
Zhan, Justin
, Fang, Xing
in
Analysis
/ Big Data
/ Classification
/ Communications Engineering
/ Computational Science and Engineering
/ Computer Science
/ Contrarian investing
/ Data mining
/ Data Mining and Knowledge Discovery
/ Database Management
/ Electronic commerce
/ Experiments
/ Information Storage and Retrieval
/ Investment advisors
/ Mathematical Applications in Computer Science
/ Methodology
/ Natural language processing
/ Networks
/ Polarity
/ Product reviews
/ Sentiment analysis
2015
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Journal Article
Sentiment analysis using product review data
2015
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Overview
Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). Sentiment analysis has gain much attention in recent years. In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis. A general process for sentiment polarity categorization is proposed with detailed process descriptions. Data used in this study are online product reviews collected from Amazon.com. Experiments for both sentence-level categorization and review-level categorization are performed with promising outcomes. At last, we also give insight into our future work on sentiment analysis.
Publisher
Springer International Publishing,Springer Nature B.V
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