A Literature Review on Sentiment Analysis

Authors

  • Vandana C P  Assistant Professor, Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Siddharth Indoria  Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Sharan Gouda  Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India
  • Sinchana Bhaskar  Information Science, New Horizon College of Engineering, Bangalore, Karnataka, India

DOI:

https://doi.org//10.32628/CSEIT206384

Keywords:

Opinion Mining, Sentiment Analysis

Abstract

This paper is an intend to consolidate the review and perform the literature survey on the sentiment analysis and on opinion mining. In this paper we try to analyze people sentiments, opinions, and emotions from their text language by which we can try to understand in what mood or emotion was the person while writing the text message. There are many types of sentimental moods according to which person writes the text it can be classified like happy, sad, neutral, angry. Also there are times when the user can be sad and angry at the same time which is needed to be identified by the analysis.

References

  1. Pang, Bo; Lee, Lillian; Vaithyanathan, Shivakumar (2002). "Thumbs up? Sentiment Classification using Machine Learning Techniques". Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). pp. 79–86.
  2. Ji fang, Bi Chen. Incorporating Lexicon Knowledge into SVM Learning to Improve Sentiment Classification. Proceedings of the Workshop on Sentiment Analysis where AI meets Psychology (SAAIP), IJCNLP 2011, pages 94–100, Chiang Mai, Thailand, November 13, 2011
  3. Turney, Peter (2002). "Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews". Proceedings of the Association for Computational Linguistics. pp. 417–424.
  4. Wiebe, Janyce, Rebecca F. Bruce, and Thomas P. O'Hara. Development and use of a gold-standard data set for subjectivity classifications. In Proceedings of the Association for Computational Linguistics (ACL1999). 1999.
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  6. Hu, M., Liu, B., “Mining and Summarizing Customer Reviews”, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, Seattle, WA, USA, 2004
  7. Liu, B., Opinion Mining and Summarization, World Wide Web Conference, Beijing, China, 2008
  8. Pak and P. Paroubek. “Twitter as a Corpus for Sentiment Analysis and Opinion Mining”, In Proceedings of the Seventh Conference on International Language Resources and Evaluation, 2010.
  9. Hu, Minqing and Bing Liu. Mining and summarizing customer reviews. In Proceedings of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004). 2004.Yang Long, Yiping Gong,
  10. Xing Fang, Justin Zhan. Sentiment analysis using product review data. Journal of Big Data 2015.
  11. S. A Kanade, S. Shibu and Abhishek Chauhan. Review of Aspect Based Opinion Polling. IJREST 2014.
  12. Neethu M S, Rajasree R. Sentiment Analysis in Twitter using Machine Learning Techniques. IEEE 2013.
  13. Pang, Bo and Lee, Lillian and Vaithyanathan, Shivakumar, Thumbs up? Sentiment Classification using Machine Learning Techniques, Proceedings of EMNLP 2002)
  14. Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan, “Thumbs up? Sentiment classification using machine learning techniques”, In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 79–86, 2002
  15. Alekh Agarwal and Pushpak Bhattacharyya, “Sentiment analysis: A new approach for effective use of linguistic knowledge and exploiting similarities in a set of documents to be classified”, In Proceedings of the International Conference on Natural Language Processing (ICON), 2005.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-06-30

Issue

Volume 6, Issue 3, May-June-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vandana C P, Siddharth Indoria, Sharan Gouda, Sinchana Bhaskar, " A Literature Review on Sentiment Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.357-362, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT206384