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Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah

Reviews and customer’s feedback play a vital role for companies to monitor their brand, improve customer service or gain customer's trust. Even though technologies have evolved over the years, some companies such as airline companies still use traditional methods to collect reviews by using sur...

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Main Author:	Maliki, Ahmad Firdaus
Format:	Thesis
Language:	English
Published:	2021
Subjects:	Electronic data processing. Maple (Computer file) Analysis Instruments and machines Evolutionary programming (Computer science). Genetic algorithms Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/54673/1/54673.pdf https://ir.uitm.edu.my/id/eprint/54673/
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id	my.uitm.ir.54673
record_format	eprints
spelling	my.uitm.ir.546732021-12-14T08:43:57Z https://ir.uitm.edu.my/id/eprint/54673/ Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah Maliki, Ahmad Firdaus Electronic data processing. Maple (Computer file) Analysis Instruments and machines Evolutionary programming (Computer science). Genetic algorithms Algorithms Reviews and customer’s feedback play a vital role for companies to monitor their brand, improve customer service or gain customer's trust. Even though technologies have evolved over the years, some companies such as airline companies still use traditional methods to collect reviews by using surveys which may lead to human error. This includes bias and random response. Furthermore, with the advancement of technology, people tend to express their satisfaction or dissatisfaction through social media such as Facebook or Twitter which is becoming more popular even among the older generations. Therefore, this project aims to help the company to classify and visualize the sentiments of the reviews by collecting the reviews from Twitter or uploading a file containing reviews to the system. The sentiment of the reviews will be classified into two categories which are positive and negative. The overview for the methodology is divided into three phases which are preliminary phase, design and implementation phase and evaluation phase. Several classifier models have been built by using Naive Bayes algorithm during the design and implementation phase where the model that has the highest accuracy has been chosen for this project. On top of that, functionality testing has been done on the system to ensure that there are no problems especially in the visualization component of the system. Some recommendations have also been given to improve the project such as training the model with other languages such as Malay and analyse reviews from other social media such as Facebook, hi conclusion, this project may help to ease the burden of airline companies as they no longer need to analyse the reviews one by one. 2021-02 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/54673/1/54673.pdf ID54673 Maliki, Ahmad Firdaus (2021) Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah. Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
institution	Universiti Teknologi Mara
building	Tun Abdul Razak Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Mara
content_source	UiTM Institutional Repository
url_provider	http://ir.uitm.edu.my/
language	English
topic	Electronic data processing. Maple (Computer file) Analysis Instruments and machines Evolutionary programming (Computer science). Genetic algorithms Algorithms
spellingShingle	Electronic data processing. Maple (Computer file) Analysis Instruments and machines Evolutionary programming (Computer science). Genetic algorithms Algorithms Maliki, Ahmad Firdaus Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah
description	Reviews and customer’s feedback play a vital role for companies to monitor their brand, improve customer service or gain customer's trust. Even though technologies have evolved over the years, some companies such as airline companies still use traditional methods to collect reviews by using surveys which may lead to human error. This includes bias and random response. Furthermore, with the advancement of technology, people tend to express their satisfaction or dissatisfaction through social media such as Facebook or Twitter which is becoming more popular even among the older generations. Therefore, this project aims to help the company to classify and visualize the sentiments of the reviews by collecting the reviews from Twitter or uploading a file containing reviews to the system. The sentiment of the reviews will be classified into two categories which are positive and negative. The overview for the methodology is divided into three phases which are preliminary phase, design and implementation phase and evaluation phase. Several classifier models have been built by using Naive Bayes algorithm during the design and implementation phase where the model that has the highest accuracy has been chosen for this project. On top of that, functionality testing has been done on the system to ensure that there are no problems especially in the visualization component of the system. Some recommendations have also been given to improve the project such as training the model with other languages such as Malay and analyse reviews from other social media such as Facebook, hi conclusion, this project may help to ease the burden of airline companies as they no longer need to analyse the reviews one by one.
format	Thesis
author	Maliki, Ahmad Firdaus
author_facet	Maliki, Ahmad Firdaus
author_sort	Maliki, Ahmad Firdaus
title	Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah
title_short	Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah
title_full	Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah
title_fullStr	Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah
title_full_unstemmed	Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah
title_sort	sentiment analysis of airline reviews using naive bayes algorithm / zaiton mohd napiah
publishDate	2021
url	https://ir.uitm.edu.my/id/eprint/54673/1/54673.pdf https://ir.uitm.edu.my/id/eprint/54673/
_version_	1720439847823343616
score	13.211869

Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Zaiton Mohd Napiah

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