Artigo Acesso aberto Revisado por pares

Sentiment analysis using product review data

2015; Springer Science+Business Media; Volume: 2; Issue: 1 Linguagem: Inglês

10.1186/s40537-015-0015-2

ISSN

2196-1115

Autores

Xing Fang, Justin Zhan,

Tópico(s)

Advanced Text Analysis Techniques

Resumo

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.

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