A Survey on Sentiment Analysis and It’s Applications

Authors

  • Harshitha G  Department of CSE, G. Madegowda Institute Of Technology (GMIT), Maddur, Mandya District, Karnataka, India
  • Lavanya G  Department of CSE, G. Madegowda Institute Of Technology (GMIT), Maddur, Mandya District, Karnataka, India
  • Hemanth Kumar A  Assisstant Professor, G. Madegowda Institute Of Technology (GMIT), Maddur, Mandya District, Karnataka, India

Keywords:

Sentiment analysis, Social Media, Sentiwordnet, StanfordCore, WEKA,Naive Bayes.

Abstract

Sentiment analysis refers to one of the particular task which is included under natural language processing and it’s used to determine whether a piece of text contains some of the subjective information or not. And if there existany subjective information then it expresses whether the attitude behind the text is positive, negative or neutral. Understanding the opinions of other people will be of great help for commercial as well as for political use and also among others fields. Sentiment analysis, sometimes also known as “opinion mining” will let us know if there is been any change in public’s opinion towards any of the aspect’s regarding to business or any other areas. By obtaining the customer’s feedback over the business regularly, one can improve the quality of service if required. Therefore, Sentiment analysis is said to be not a once done effort. In this paper, we have carried out a survey on Sentiment analysis, it’s application’s, challenges facing it, available tools and techniques implemented in this area.

References

  1. Pang, B., & Lee, L. (2004, July). A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts.
  2. WMedhat, A. Hassan, and H. Korashy, “Sentiment analysis algorithms and applications: A survey,” Ain Shams Engineering journal, vol. 5, pp. 1093–1113, 2014.
  3. Sentiment Analysis: Overview, Applications and Benefits-By Mikaela Berman, July 5, 2017 Categories: Big Data & AnalyticsTags: big data, data analytics, Sentiment Analysis
  4. Sentiment analysis algorithms and applications –Science direct-https://www.sciencedirect.com/science/article/pii/S20904479140005500010
  5. https://www.quora.com/what-are-the-applications-of-sentiment-analysis
  6. adweek.com/digital/5_key_challenges_in_sentiment_analysis/
  7. Basic tools used for Sentiment Analysis algorithms https://scholar.google.co.in/scholar?start=90&q=basic+tools+for+sentiment+analysis+algorithms&hl=en&as_sdt=0,5
  8. Sentiment Analysis Tools to Track Social Marketing Success |- iProspect
  9. Sentiment analysis algorithms and applications: A survey- https:// www.sciencedirect.com/science/article/pii/S2090447914000550
  10. https://www.nowpublishers.com/article/Details/INR-011

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

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Published

2018-05-08

Issue

Volume 4, Issue 6, May-June-2018

Section

Research Articles

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

How to Cite

[1]
Harshitha G, Lavanya G, Hemanth Kumar A, " A Survey on Sentiment Analysis and It’s Applications , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 6, pp.365-371, May-June-2018.