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Twitter Sentiment Classification Using Binary Shuffled Frog Algorithm



Twitter is a popular social networking site allowing users to read/post messages (tweets). Among the topic varieties, people in Twitter express sentiments for brands, stars, merchandises, and social events. Hence, it draws attention to assess a crowd2019s sentiments in Twitter. Tweets classify a target2019s sentiments as positive, negative or neutral. Individuals comment on many entities (or targets) in a tweet, thereby affecting availabilities for current methods. This is beneficial for clients who explore products sentiment before acquisition, or corporations wanting to check public sentiment of their products. This work proposes a new Twitter Sentiment Classification algorithm using novel feature selection technique with ensemble classifier through a meta-heuristic algorithm. Feature vectors are represented using binary encoding and a novel transfer function to flip encoding bits using shuffled frog meta-heuristic algorithm is proposed. To evaluate the new algorithm, Twitter corpus from Stanford University is used.



Total Pages: 9
Pages: 373-381


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Volume: 23
Issue: 2
Year: 2016

Cite this document


Ahmad T. International Journal of Computer Science

S., ChandraKala et al. "OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY." ICTACT Journal on Soft Computing 03.01 (2012): 420-427. Crossref. Web.

Ciftcioglu, Özer, and Sanja Durmisevic. "Knowledge Management by Information Mining." Computer Aided Architectural Design Futures 2001 (2001): 533-545. Crossref. Web.

Eusuff, Muzaffar, Kevin Lansey, and Fayzul Pasha. "Shuffled Frog-Leaping Algorithm: a Memetic Meta-Heuristic for Discrete Optimization." Engineering Optimization 38.2 (2006): 129-154. Crossref. Web.

John A.A. International Journal of Engineering Research & Technology (IJERT)

Loh, Wei-Yin. "Logistic Regression Tree Analysis." Springer Handbook of Engineering Statistics (2006): 537-549. Crossref. Web.

Manning, Christopher D., Prabhakar Raghavan, and Hinrich Schutze. "Introduction to Information Retrieval." (2008): n. pag. Crossref. Web.

Rashid A. IJCSI International Journal of Computer Science Issues

Thakkar M.M. International Journal of Engineering Research and Applications (IJERA)

Wu, Fulin et al. "Mixed Kernel Twin Support Vector Machines Based on the Shuffled Frog Leaping Algorithm." Journal of Computers 9.4 (2014): n. pag. Crossref. Web.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


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