Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect

Arab customers give their comments and opinions daily, and it increases dramatically through online reviews of products or services from companies, in both Arabic, and its dialects. This text describes the user’s condition or needs for satisfaction or dissatisfaction, and this evaluation is either n...

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Bibliographic Details
Main Author: Habeeb, Abdallah (author)
Other Authors: Otair, Mohammed A (author), Abualigah, Laith (author), Alsoud, Anas Ratib (author), Elminaam, Diaa Salama Abd (author), Abu Zitar, Raed (author), Ezugwu, Absalom E (author), Jia, Heming (author)
Published: 2022
Subjects:
Natural language processing
Text classification
Sentiment analysis
Feature selection
Inspired algorithms
ABC
UBC
KNN
SVM
PNN
Naïve Bayes
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1328
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https://depot.sorbonne.ae/handle/20.500.12458/1328

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