Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Opis bibliograficzny
Główni autorzy: Deb, Priom, Bhuiyan, Asibur Rahman, Ahmed, Farhan, Hossain, Md. Rakib, Mahrin, Habiba
Kolejni autorzy: Karim, Dewan Ziaul
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2024
Hasła przedmiotowe:
Dostęp online:http://hdl.handle.net/10361/22825
id 10361-22825
record_format dspace
spelling 10361-228252024-05-15T21:00:47Z Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing Deb, Priom Bhuiyan, Asibur Rahman Ahmed, Farhan Hossain, Md. Rakib Mahrin, Habiba Karim, Dewan Ziaul Ahmed, Faisal Department of Computer Science and Engineering, Brac University Sentiment analysis Food ordering portal Neural network Data analysis Neural networks (Computer science) Natural language processing (Computer science) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 66-70). In recent years, online food ordering services have gained popularity by providing customers with suitable and user-friendly platforms for ordering food from restaurants and receiving doorstep delivery. Foodpanda Bangladesh and HungryNaki have been anticipated to make significant contributions to the expansion and development of the online food delivery market during this period. This study aims to forecast the attitudes of Bangladeshi consumers toward digital platforms for food ordering, with a particular focus on Foodpanda Bangladesh and HungryNaki. To achieve this goal, an online review sentiment analysis will be implemented. A dataset of customer reviews from the company’s website will be compiled. The data will undergo preprocessing techniques to filter out unnecessary and irrelevant information and refine the features and characteristics of the data. Subsequently, natural language processing (NLP) techniques will be applied to conduct sentiment analysis. The objective of this research is to determine the prevailing customer opinions regarding restaurants and food delivery platforms in Bangladesh. This includes their future assessments of delivery schedules, meal quality, and customer service on the platform. The results of this research should shed light on the future of Bangladesh’s food-ordering portals from the perspective of their users. The research will help the platform enhance its reputation and competitiveness in the online food delivery market. Priom Deb Asibur Rahman Bhuiyan Farhan Ahmed Md. Rakib Hossain Habiba Mahrib B.Sc. in Computer Science and Engineering 2024-05-15T03:57:32Z 2024-05-15T03:57:32Z ©2023 2023-09 Thesis ID: 23341092 ID: 23341095 ID: 20141015 ID: 20101315 ID: 20301339 http://hdl.handle.net/10361/22825 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 80 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Sentiment analysis
Food ordering portal
Neural network
Data analysis
Neural networks (Computer science)
Natural language processing (Computer science)
spellingShingle Sentiment analysis
Food ordering portal
Neural network
Data analysis
Neural networks (Computer science)
Natural language processing (Computer science)
Deb, Priom
Bhuiyan, Asibur Rahman
Ahmed, Farhan
Hossain, Md. Rakib
Mahrin, Habiba
Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
author2 Karim, Dewan Ziaul
author_facet Karim, Dewan Ziaul
Deb, Priom
Bhuiyan, Asibur Rahman
Ahmed, Farhan
Hossain, Md. Rakib
Mahrin, Habiba
format Thesis
author Deb, Priom
Bhuiyan, Asibur Rahman
Ahmed, Farhan
Hossain, Md. Rakib
Mahrin, Habiba
author_sort Deb, Priom
title Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
title_short Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
title_full Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
title_fullStr Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
title_full_unstemmed Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
title_sort sentiment analysis of customer reviews on food ordering portals of bangladesh using natural language processing
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/22825
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