Sentiment Analysis Based Named Entity Recognition with Tweet Segmentation

International Journal of Communication and Media Science

© 2016 by SSRG - IJCMS Journal

Volume 3 Issue 3

Year of Publication : 2016

Authors : K.Divya and R.Kiruba Kumari

10.14445/2349641X/IJCMS-V3I5P103

How to Cite?

K.Divya and R.Kiruba Kumari, "Sentiment Analysis Based Named Entity Recognition with Tweet Segmentation," SSRG International Journal of Communication and Media Science, vol. 3,  no. 3, pp. 10-13, 2016. Crossref, https://doi.org/10.14445/2349641X/IJCMS-V3I5P103

Abstract:

Sentiment analysis or opinion mining is a machine learning approach in which machines examine and characterize the human's assessments, feelings, sentiments and so forth about some theme which are communicated as either content or discourse. The legendary information accessible in the web is increasing day by day. So as to upgrade the offers of an item and to enhance the consumer loyalty, the majority of the on-line shopping destinations give the chance to clients to compose surveys about items. These audits are extensive in number and to mine the general assessment or conclusion extremity from every one of them, opinion mining can be utilized. Manual examination of such vast number of surveys is essentially unthinkable. Accordingly mechanized methodology of a machine has critical part in illuminating this hard issue. The significant test of the region of Sentiment investigation and Opinion mining lies in recognizing the feelings communicated in these writings. In this paper a review is carried out to study the insight examination of the issues in and out and to familiarize with the concepts of sentiment analysis.

Keywords:

 Tweet Data, sentiment analysis, opinion mining, classifiers.

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