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An Efficient Hybrid Approach for Twitter Sentiment Analysis based on Bidirectional Recurrent Neural Networks

by Khadija Shazly, Marwa Eid, Hanaa Salem
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 17
Year of Publication: 2020
Authors: Khadija Shazly, Marwa Eid, Hanaa Salem
10.5120/ijca2020920683

Khadija Shazly, Marwa Eid, Hanaa Salem . An Efficient Hybrid Approach for Twitter Sentiment Analysis based on Bidirectional Recurrent Neural Networks. International Journal of Computer Applications. 175, 17 ( Sep 2020), 32-36. DOI=10.5120/ijca2020920683

@article{ 10.5120/ijca2020920683,
author = { Khadija Shazly, Marwa Eid, Hanaa Salem },
title = { An Efficient Hybrid Approach for Twitter Sentiment Analysis based on Bidirectional Recurrent Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2020 },
volume = { 175 },
number = { 17 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number17/31546-2020920683/ },
doi = { 10.5120/ijca2020920683 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:18.736150+05:30
%A Khadija Shazly
%A Marwa Eid
%A Hanaa Salem
%T An Efficient Hybrid Approach for Twitter Sentiment Analysis based on Bidirectional Recurrent Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 17
%P 32-36
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Many optimization problems from various applications have been solved by many algorithms such as Grey Wolf Optimizer (GWO), Genetic Algorithm (GA), Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO). Sentiment Analysis (SA) is used to evaluate the polarity of reviews. In SA, feature selection phase is an important, as the best way to solve all optimization problems not happen yet so this paper proposes a hybrid approach that combines three modified hybrid algorithms [ (GWO), (PSO) and (GA) ], its name (HWPG) .To reduce the search space filter features selection, Information Gain (IG) has been used. (HWPG) used to select the best features for training Bidirectional Recurrent Neural Networks (BRNN) classifier. Arabic benchmark dataset which 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 (HWPG)

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Index Terms

Computer Science
Information Sciences

Keywords

Feature Selection Genetic Algorithm In Information Gain Optimization problems Particle Swarm Optimization Sentiment analysis

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