Volume 11 Number 3 (May 2016)
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JCP 2016 Vol.11(3): 238-246 ISSN: 1796-203X
doi: 10.17706/jcp.11.3.238-246

From Public Polls to Tweets: Developing an Algorithm for Classifying Sentiment from Twitter Based on Computing with Words

Saad M. Darwish, Magda M. Madbouly, Mohamed A. Hassan
Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, 163 Horreya Avenue, El Shatby 21526. P.O. Box 832, Alexandria, Egypt.
Abstract—Uncertainty is an intrinsic part of sentiment analysis, especially when dealing with social media (Twitter data) that known as noisy texts. Although there are many researches have been done in sentiment analysis, accuracy in identifying sentiment from Twitter data is still far from satisfactory. In this paper, we address this limitation by investigating computing with words (CWW) and granule computing (GC) approaches that all contribute towards improving sentiment classification on Twitter. CWW can provide a solid basis for the computational theory of perceptions under the environments of imprecision, uncertainty, and partial truth. CWW technique is employed to translate propositions expressed in a natural language into what is called generalized constraint language (GCL) with possibilistic type and applying rules of fuzzy constraint propagation. GC is engaged to infer an answer to a query expressed in a natural language “which granule does the proposition belongs to?” The experimental results show that it is feasible to use CWW to classify sentiment.

Index Terms—Computing with words, opinion mining, sentiment analysis, NLP.

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Cite: Saad M. Darwish, Magda M. Madbouly, Mohamed A. Hassan, "From Public Polls to Tweets: Developing an Algorithm for Classifying Sentiment from Twitter Based on Computing with Words," Journal of Computers vol. 11, no. 3, pp. 238-246, 2016.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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