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A Study on Sentimental Analysis for Twitter Data using Classification Technique

Author(s):

M. Bhuvaneswari , Avinashilingam University; Dr. V. Srividhya, Avinashilingam University

Keywords:

Data Mining, Social Network, Twitter, Sentimental analysis and opinion extraction

Abstract

Social network helps to connect the people from various areas. People of the social network were communicating each other and they may share their opinion. While sharing their opinion, sentiment analyze is the important factor in today for social network analyses. A sentiment or opinion analysis is the process of knowledge extraction from different social users. By this we can analysis the relevant and irrelevant estimation from the users. Evaluate the opinion is extracted from the unstructured and structured data. Twitter contains large and rapid micro blogging websites for expressing the opinion of the social users. While extracting the relevant opinion the have many techniques, this paper present a study of various methods of analyzing and extracting the relevant tweets in the tweeter social network.

Other Details

Paper ID: IJSRDV4I60408
Published in: Volume : 4, Issue : 6
Publication Date: 01/09/2016
Page(s): 872-874

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