article

A hybrid optimal weighting scheme and machine learning for rendering sentiments in tweets

Authors:

Abdellah Madani,

Mohamed KissiAuthors Info & Claims

International Journal of Intelligent Engineering Informatics, Volume 4, Issue 3/4

Pages 322 - 339

https://doi.org/10.1504/IJIEI.2016.080527

Published: 01 January 2016 Publication History

Abstract

Over recent years, the world has experienced an explosive growth in the volume of shared web texts. Everyday, a huge volume of opinions expressed in various forms such as articles, reviews and tweets is generated. In general, opinion mining refers to the task of extracting opinions, and sentiment analysis is the technique that extracts subjectivity and polarity; in other words, it determines whether a text is positive or negative Taboada et al., 2011. Arabic sentiment analysis is conducted in this study using a publically available data set written in both modern standard Arabic and the Jordanian dialect. A new mathematical approach is introduced to determine the polarity of the tweet by using four functions whose parameters are the solutions of a linear program. These functions are then classified using support vector machines and K-nearest neighbours. The results show that the proposed approach is considerably reliable in Arabic sentiment analysis.

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Cited By

Bahassine SMadani AAl-Sarem MKissi M(2020)Feature selection using an improved Chi-square for Arabic text classificationJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2018.05.01032:2(225-231)Online publication date: 1-Feb-2020
https://dl.acm.org/doi/10.1016/j.jksuci.2018.05.010
(2019)Threshold-based empirical validation of object-oriented metrics on different severity levelsInternational Journal of Intelligent Engineering Informatics10.5555/3337636.33376427:2-3(231-262)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.5555/3337636.3337642
Badaro GBaly RHajj HEl-Hajj WShaban KHabash NAl-Sallab AHamdi A(2019)A Survey of Opinion Mining in ArabicACM Transactions on Asian and Low-Resource Language Information Processing10.1145/329566218:3(1-52)Online publication date: 7-May-2019
https://dl.acm.org/doi/10.1145/3295662
Show More Cited By

A hybrid optimal weighting scheme and machine learning for rendering sentiments in tweets
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
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Published In

cover image International Journal of Intelligent Engineering Informatics

International Journal of Intelligent Engineering Informatics Volume 4, Issue 3/4

January 2016

169 pages

ISSN:1758-8715

EISSN:1758-8723

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Inderscience Publishers

Geneva 15, Switzerland

Publication History

Published: 01 January 2016

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Cited By

Bahassine SMadani AAl-Sarem MKissi M(2020)Feature selection using an improved Chi-square for Arabic text classificationJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2018.05.01032:2(225-231)Online publication date: 1-Feb-2020
https://dl.acm.org/doi/10.1016/j.jksuci.2018.05.010
(2019)Threshold-based empirical validation of object-oriented metrics on different severity levelsInternational Journal of Intelligent Engineering Informatics10.5555/3337636.33376427:2-3(231-262)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.5555/3337636.3337642
Badaro GBaly RHajj HEl-Hajj WShaban KHabash NAl-Sallab AHamdi A(2019)A Survey of Opinion Mining in ArabicACM Transactions on Asian and Low-Resource Language Information Processing10.1145/329566218:3(1-52)Online publication date: 7-May-2019
https://dl.acm.org/doi/10.1145/3295662
(2018)A purely Bayesian approach for proportional visual data modellingInternational Journal of Intelligent Engineering Informatics10.1504/IJIEI.2018.0945136:5(491-508)Online publication date: 13-Dec-2018
https://dl.acm.org/doi/10.1504/IJIEI.2018.094513

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