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Reseach Article

Optimize Machine Learning Programming Algorithms for Sentiment Analysis in Social Media

by Manal S.F. Alharbi, El-Sayed M. El-kenawy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 25
Year of Publication: 2021
Authors: Manal S.F. Alharbi, El-Sayed M. El-kenawy
10.5120/ijca2021921169

Manal S.F. Alharbi, El-Sayed M. El-kenawy . Optimize Machine Learning Programming Algorithms for Sentiment Analysis in Social Media. International Journal of Computer Applications. 174, 25 ( Mar 2021), 38-43. DOI=10.5120/ijca2021921169

@article{ 10.5120/ijca2021921169,
author = { Manal S.F. Alharbi, El-Sayed M. El-kenawy },
title = { Optimize Machine Learning Programming Algorithms for Sentiment Analysis in Social Media },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2021 },
volume = { 174 },
number = { 25 },
month = { Mar },
year = { 2021 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number25/31832-2021921169/ },
doi = { 10.5120/ijca2021921169 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:23:05.263310+05:30
%A Manal S.F. Alharbi
%A El-Sayed M. El-kenawy
%T Optimize Machine Learning Programming Algorithms for Sentiment Analysis in Social Media
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 25
%P 38-43
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sentiment analysis (SA) is used to evaluate the polarity of reviews. In SA, the feature selection phase is essential, as the best way to solve all optimization problems not happen yet so this paper proposes a hybrid approach that combines hybrid algorithms [ (GWO and (PSO)], its name (GWOPS). To reduce the search space filter features selection. (GWOPS) used for training neural networks (NN) classifiers to select the best features. Data was collected from Twitter on different topics used in our experimental. The proposed algorithm is compared with three well-known optimization algorithms the experiments and comparisons result to evaluate the quality and effectiveness of the (GWOPS)

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Index Terms

Computer Science
Information Sciences

Keywords

Sentiment analysis Twitter Social Media GWO PSO