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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812A07

Page Number

40-45

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Title

Automated analysis techniques to extract sentiments and opinions conveyed in the user comments on social media.

ISSN

2349-5162

Cite This Article

"Automated analysis techniques to extract sentiments and opinions conveyed in the user comments on social media.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.40-45, December-2018, Available :http://www.jetir.org/papers/JETIR1812A07.pdf

Abstract

Ubiquitous presence of internet, advent of web 2.0 has made social media tools like blogs, Facebook, Twitter very popular and effective. People interact with each other, share their ideas, opinions, interests and personal information. These user comments are used for finding the sentiments and also add financial, commercial and social values. However, due to the enormous amount of user generated data, it is an expensive process to analyze the data manually. Increase in activity of opinion mining and sentiment analysis, challenges are getting added every day. There is a need for automated analysis techniques to extract sentiments and opinions conveyed in the user comments. Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. In a world where we generate 2.5 quintillion bytes of data every day, sentiment analysis has become a key tool for making sense of that data. This has allowed companies to get key insights and automate all kind of processes.

Key Words

Ubiquitous, machine learning; opining mining; sentiment analysis; sentiment classification

Cite This Article

"Automated analysis techniques to extract sentiments and opinions conveyed in the user comments on social media.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp40-45, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A07.pdf

Publication Details

Published Paper ID: JETIR1812A07
Registration ID: 193773
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 40-45
ISSN Number: 2349-5162

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Cite This Article

"Automated analysis techniques to extract sentiments and opinions conveyed in the user comments on social media.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp40-45, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A07.pdf




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