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.
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Brac University
2024
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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 |
work_keys_str_mv |
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