Sentiment analysis using product review data
Journal Of Big DataPublished 15 June 2015Open access
Xing Fang, Justin Zhan
Citations784
SJR quartileQ1
SJR score1.98
SNIP4.17
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TL;DR
A general process for sentiment polarity categorization is proposed with detailed process descriptions and insight into the future work on sentiment analysis is given.
Abstract
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.
Keywords
Computer Science
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