Open Access   Article

Aspect Based Sentiment Analysis with Text Compression

Apoorva T.1 , Pradeep N.2

1 apoorvatammu@gmail.com.

Correspondence should be addressed to: Department of CSE, Bapuji Institute of Engineering and Technology, Davanagere, India|Department of CSE, Bapuji Institute of Engineering and Technology, Davanagere, India.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-8 , Page no. 63-66, Aug-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i8.6366

Online published on Aug 30, 2017

Copyright © Apoorva T., Pradeep N. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Citation

IEEE Style Citation: Apoorva T., Pradeep N., “Aspect Based Sentiment Analysis with Text Compression”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.8, pp.63-66, 2017.

MLA Style Citation: Apoorva T., Pradeep N. "Aspect Based Sentiment Analysis with Text Compression." International Journal of Computer Sciences and Engineering 5.8 (2017): 63-66.

APA Style Citation: Apoorva T., Pradeep N., (2017). Aspect Based Sentiment Analysis with Text Compression. International Journal of Computer Sciences and Engineering, 5(8), 63-66.

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Abstract

Sentiment Analysis measures the aptitude of people’s opinions through Natural Language Processing, Computational Lingus tics and Text analysis, which are used to extract and analyse subjectivity of information. This paper focuses on Aspect Based Sentiment Analysis, where Text Compression is performed before Aspect Based analysis. For a given huge text is compressed using Text compression model, which is considered as pre-processing task for Aspect Based Sentiment Analysis.

Key-Words / Index Term

Aspect Based sentiment analysis, text compression

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