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Sentiment Analysis: A Comprehensive Overview and the State of Art Research Challenges


Affiliations
1 Department of Computer Applications, Hindustan University, Chennai – 603103, Tamil Nadu, India
2 Department of Electronics and Communication Engineering, Hindustan University, Chennai – 603103, Tamil Nadu, India
 

Objectives: To extract the knowledge from social media and other review sites of importance. Methods/Analysis: Analyzing such a huge amount of data to summarize the opinion out of that text is a hot research field. In this study, a systematic literature review is done to summarize the various works that are carried out in this field. Findings: In this survey, the various methods used for sentiment analysis, its applications and the challenges are summarized in order to give an overall view of sentiment analysis. Novelty/Improvement: This valuable information is used in evaluating the opinion that could be used by business organizations and other text mining entities.

Keywords

Big Data, Opinion Polls, Sentiment Analysis, Social Media.
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  • Sentiment Analysis: A Comprehensive Overview and the State of Art Research Challenges

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Authors

J. Rexiline Ragini
Department of Computer Applications, Hindustan University, Chennai – 603103, Tamil Nadu, India
P. M. Rubesh Anand
Department of Electronics and Communication Engineering, Hindustan University, Chennai – 603103, Tamil Nadu, India

Abstract


Objectives: To extract the knowledge from social media and other review sites of importance. Methods/Analysis: Analyzing such a huge amount of data to summarize the opinion out of that text is a hot research field. In this study, a systematic literature review is done to summarize the various works that are carried out in this field. Findings: In this survey, the various methods used for sentiment analysis, its applications and the challenges are summarized in order to give an overall view of sentiment analysis. Novelty/Improvement: This valuable information is used in evaluating the opinion that could be used by business organizations and other text mining entities.

Keywords


Big Data, Opinion Polls, Sentiment Analysis, Social Media.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i47%2F133446