articleJournal Of Big DataJun 15, 2015GOLD OA

Sentiment analysis using product review data

XFXing FangJZJustin Zhan

North Carolina Agricultural and Technical State University

Indexed incrossrefdoaj

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.

Citation impact

781
total citations
FWCI
55.65
Percentile
100%
References
37
Citations per year

Authors

2

Topics & keywords

Topics
Keywords
  • Sentiment analysis
  • Categorization
  • Computer science
  • Polarity (international relations)
  • Sentence
  • Natural language processing
  • Product (mathematics)
  • Process (computing)
UN Sustainable Development Goals
  • Quality Education
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