A Survey on Sentiment Analysis and It’s Applications

Authors(3) :-Harshitha G, Lavanya G, Hemanth Kumar A

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 6 | May-June 2018
Date of Publication : 2018-05-08
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 365-371
Manuscript Number : CSEIT184669
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Harshitha G, Lavanya G, Hemanth Kumar A, "A Survey on Sentiment Analysis and It’s Applications ", International 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.
Journal URL : http://ijsrcseit.com/CSEIT184669

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