Document Level Sentiment Analysis: A survey

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 application, challenges and techniques at this level. In addition, some future research issues are also presented.

Authors and Affiliations

S. Behdenna, F. Barigou, G. Belalem

Keywords

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  • EP ID EP45799
  • DOI http://dx.doi.org/10.4108/eai.14-3-2018.154339
  • Views 245
  • Downloads 0

How To Cite

S. Behdenna, F. Barigou, G. Belalem (2017). Document Level Sentiment Analysis: A survey. EAI Endorsed Transactions on Context-aware Systems and Applications, 4(13), -. https://europub.co.uk/articles/-A-45799