This paper is published in Volume-5, Issue-2, 2019
Area
Computer Science
Author
Pravarsha Jonnalagadda
Co-authors
Krishna Pratheek Hari, Sandeep Batha, Hashresh Boyina
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Pub. Date
19 March, 2019
Paper ID
V5I2-1381
Publisher
Keywords
SentiWordNet, SentiPhraseNet, PoS tagger

Citationsacebook

IEEE
Pravarsha Jonnalagadda, Krishna Pratheek Hari, Sandeep Batha, Hashresh Boyina. A rule based sentiment analysis in Telugu, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pravarsha Jonnalagadda, Krishna Pratheek Hari, Sandeep Batha, Hashresh Boyina (2019). A rule based sentiment analysis in Telugu. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Pravarsha Jonnalagadda, Krishna Pratheek Hari, Sandeep Batha, Hashresh Boyina. "A rule based sentiment analysis in Telugu." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Sentimental Analysis in the English language is a relatively easier task to perform as it has a predefined set of rules followed and accepted universally. But, when it comes to Indian languages, there isn’t a benchmark dataset. Moreover, if a dataset exists, it cannot be validated as a similar sentence may differ in the meaning as the regional languages are very unpredictable and have no proper rules. In this paper, we used a Rule-Based Approach for Telugu sentiment analysis using Telugu SentiWordNet. Here, we obtained the sentiment using SentiWordNet and validated the results using ACTSA which is an annotated corpus data set.
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