Document Level Sentiment Analysis: A survey

Behdenna, S. and Barigou, F. and Belalem, G. (2018) Document Level Sentiment Analysis: A survey. EAI Endorsed Transactions on Context-aware Systems and Applications, 4 (13): e2. ISSN 2409-0026

[img]
Preview
Text
eai.14-3-2018.154339.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (1MB) | Preview

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.

Item Type: Article
Uncontrolled Keywords: opinion mining, sentiment analysis, opinion, review, document, machine learning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 16 Sep 2020 08:35
Last Modified: 16 Sep 2020 08:35
URI: https://eprints.eudl.eu/id/eprint/310

Actions (login required)

View Item View Item