Twitter sentiment classification using Naive Bayes based on trainer perception

Mohd Naim Mohd Ibrahim; Mohd Zaliman Mohd Yusoff

doi:10.1109/IC3e.2015.7403510

Twitter sentiment classification using Naive Bayes based on trainer perception

Mohd Naim Mohd Ibrahim, Mohd Zaliman Mohd Yusoff

Department of Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

This paper presents strategy to classify tweets sentiment using Naive Bayes techniques based on trainers' perception into three categories; positive, negative or neutral. 50 tweets of 'Malaysia' and 'Maybank' keywords were selected from Twitter for perception training. In this study, there were 27 trainers participated. Each trainer was asked to classify the sentiment of 25 tweets of each keyword. Results from the classification training was then be used as the input for Naive Bayes training for the remaining 25 tweets. The trainers were then asked to validate the results of sentiment classification by the Naive Bayes technique. The accuracy of this study is 90% ± 14% measured by total number of correct per total classified tweets.

Original language	English
Title of host publication	2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	187-189
Number of pages	3
ISBN (Electronic)	9781467394376
DOIs	https://doi.org/10.1109/IC3e.2015.7403510
Publication status	Published - 08 Feb 2016
Event	IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015 - Melaka, Malaysia Duration: 24 Aug 2015 → 26 Aug 2015

Publication series

Name	2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015

Other

Other	IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015
Country	Malaysia
City	Melaka
Period	24/08/15 → 26/08/15

All Science Journal Classification (ASJC) codes

Education
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/IC3e.2015.7403510

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Ibrahim, M. N. M., & Mohd Yusoff, M. Z. (2016). Twitter sentiment classification using Naive Bayes based on trainer perception. In 2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015 (pp. 187-189). [7403510] (2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC3e.2015.7403510

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Ibrahim, MNM & Mohd Yusoff, MZ 2016, Twitter sentiment classification using Naive Bayes based on trainer perception. in 2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015., 7403510, 2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015, Institute of Electrical and Electronics Engineers Inc., pp. 187-189, IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015, Melaka, Malaysia, 24/08/15. https://doi.org/10.1109/IC3e.2015.7403510

Twitter sentiment classification using Naive Bayes based on trainer perception. / Ibrahim, Mohd Naim Mohd; Mohd Yusoff, Mohd Zaliman.

2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 187-189 7403510 (2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Ibrahim MNM, Mohd Yusoff MZ. Twitter sentiment classification using Naive Bayes based on trainer perception. In 2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 187-189. 7403510. (2015 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2015). https://doi.org/10.1109/IC3e.2015.7403510