Sentiment Classification of Tweets with Non-Language Features-Reference-Cited by-同舟云学术

Sentiment Classification of Tweets with Non-Language Features

Published:2018 Issue: Volume:143 Page:426-433
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

J Akilandeswari,G Jothi

Publisher

Elsevier BV

Subject

General Engineering

Reference17 articles.

1. www.statisticbrain.com/twitter-statistics

2. Akshi Kumar and Teeja Mary Sebastian. (2012) “Sentiment Analysis on Twitter.” International Journal of Computer Science9: 372-378.

3. Alexander Pak, Patrick Paroubek. (2010) “Twitter as a Corpus for Sentiment Analysis and Opinion Mining.” Proceedings of the Seventh conference on International Language Resources and Evaluation LREC’10, European Language Resources Association ELRA. 10: 1320-1326.

4. Saif, H., He, Y., and Alani, H (2012) “Semantic Sentiment Analysis of Twitter.” International conference on The Semantic Web, Springer-Verlag Berlin. 508-524.

5. TOM: Twitter opinion mining framework using hybrid classification scheme.;Khan;Decision Support Systems,2014

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