ISSN: 2349-5162

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

Unique Identifier

JETIRDA06022

Page Number

124-130

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Title

THE GOOD, THE BAD AND THE UGLY: OPINION MINING ANALYSIS ON USER TWEETS IN TWITTER

ISSN

2349-5162

Cite This Article

"THE GOOD, THE BAD AND THE UGLY: OPINION MINING ANALYSIS ON USER TWEETS IN TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.124-130, May 2019, Available :http://www.jetir.org/papers/JETIRDA06022.pdf

Abstract

Opinion mining evaluates people's opinions, sentiments, assessments, outlooks, and feelings from a written language. One of the most dynamic research areas in natural language processing, it is also extensively studied in fields of data mining like web mining and text mining. Opinion mining also finds its vast applications in management sciences and social sciences due to its importance to business and society asa whole. The emergent importance of opinion analysis parallelswithexpansion of socialmedia such as Facebook, Twitter, and social networks. This research suggests a stand-alone platform which enables users to perform opinion analysis which makes use of Twitter API to gather information aboutthe tweets and its users. The proposed model is used to analyse whether the opinion in a text is neutral, positive ornegative. As users tend to post frank and blunt comments in twitter, it has emerged as a platform to check people’s feedback.The inclusion of hashtags to attract social attention also is a trigger for opinion mining. Twitter Search and Streaming APIs with the Stanford NLPlibrary are used to opine the data collected. The pre-processed data passes through the opinion generation phase where opinion classes are defined for polarity. Words are labelled with opinions, and the general opinion of a tweet is thus analysed, in this research paper.

Key Words

Twitter, Opinion Mining, Opinion Classes.

Cite This Article

"THE GOOD, THE BAD AND THE UGLY: OPINION MINING ANALYSIS ON USER TWEETS IN TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp124-130, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06022.pdf

Publication Details

Published Paper ID: JETIRDA06022
Registration ID: 221477
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 124-130
ISSN Number: 2349-5162

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Cite This Article

"THE GOOD, THE BAD AND THE UGLY: OPINION MINING ANALYSIS ON USER TWEETS IN TWITTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp124-130, May 2019, Available at : http://www.jetir.org/papers/JETIRDA06022.pdf




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