Sentiment analysis for airline services on Twitter using deep learning with word embedding / Mawada Mohamed Nour El Daim El Khalifa

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Sentiment analysis for airline services on Twitter using deep learning with word embedding / Mawada Mohamed Nour El Daim El Khalifa

The use of social media platform in the airline industries have increased rapidly to allow analysis introduce the quality and performance of the services. The role of Sentiment Analysis (SA) is to classify people's opinions into different categories, such as positive and negative from text, usi...

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Bibliographic Details
Main Author:	Mawada Mohamed , Nour El Daim El Khalifa
Format:	Thesis
Published:	2020
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://studentsrepo.um.edu.my/13325/ http://studentsrepo.um.edu.my/13325/1/Mawada_.pdf http://studentsrepo.um.edu.my/13325/2/Mawada_Mohamed.pdf

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