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A Novel Approach for Biometric Authentication System Using Ear, 2D Face and 3D Face Modalities Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Tweet Analyzer: Identifying Interesting Tweets Based on the Polarity of Tweets

Authors : M. Arun Manicka Raja, S. Swamynathan

Published in: Computational Intelligence in Data Mining—Volume 1

Publisher: Springer India

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Abstract

Sentiment analysis is the process of finding the opinions present in the textual content. This paper proposes a tweet analyzer to perform sentiment analysis on twitter data. The work mainly involves the sentiment analysis process using various trained machine learning classifiers applied on large collection of tweets. The classifiers have been trained using maximum number of polarity oriented words for effectively classifying the tweets. The trained classifiers at sentence level outperformed the keyword based classification method. The classified tweets are further analyzed for identifying top N tweets. The experimental results show that the sentiment analyzer system predicted polarities of tweet and effectively identified top N tweets.

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Metadata
Title
Tweet Analyzer: Identifying Interesting Tweets Based on the Polarity of Tweets
Authors
M. Arun Manicka Raja
S. Swamynathan
Copyright Year
2016
Publisher
Springer India
Book
Computational Intelligence in Data Mining—Volume 1

Print ISBN: 978-81-322-2732-8

Electronic ISBN: 978-81-322-2734-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2734-2_31

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