BOOK-CHAPTER

Sentiment Analysis at Document Level

Salima BehdennaFatiha BarigouGhalem Belalem

Year: 2016 Communications in computer and information science Pages: 159-168   Publisher: Springer Science+Business Media

Abstract

Sentiment analysis becomes a very active research area in the text mining field. It aims to extract people's opinions, sentiments, and subjectivity from the texts. Sentiment analysis can be performed at three levels: at document level, at sentence level and at aspect level. An important part of research effort focuses on document level sentiment classification, including works on opinion classification of reviews. This survey paper tackles a comprehensive overview of the last update of sentiment analysis at document level. The main target of this survey is to give nearly full image of sentiment analysis techniques at this level. In addition, some future research issues are also presented.

Keywords:
Sentiment analysis Computer science Sentence Subjectivity Field (mathematics) Information retrieval Data science Natural language processing

Metrics

32
Cited By
2.01
FWCI (Field Weighted Citation Impact)
29
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence

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