Aspect based opinion mining on restaurant reviews

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

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Tonmoy, Sazid Hasan, Ahmed, Faiyaj Bin, Sarkar, Madhurjya, Bashar, Mehejabin Binta, Ahmed, Rafi
Rannpháirtithe:	Sadeque, Farig Yousuf
Formáid:	Tráchtas
Teanga:	English
Foilsithe / Cruthaithe:	Brac University 2024
Ábhair:	Opinion mining Aspect extraction Support vector machine Deep learning Customer feedback Data mining Machine learning
Rochtain ar líne:	http://hdl.handle.net/10361/23516

id	10361-23516
record_format	dspace
spelling	10361-235162024-06-23T21:01:54Z Aspect based opinion mining on restaurant reviews Tonmoy, Sazid Hasan Ahmed, Faiyaj Bin Sarkar, Madhurjya Bashar, Mehejabin Binta Ahmed, Rafi Sadeque, Farig Yousuf Mostakim, Moin Department of Computer Science and Engineering, Brac University Opinion mining Aspect extraction Support vector machine Deep learning Customer feedback Data mining Machine learning 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 58-61). The way businesses are operating have changed due to the explosion of the internet. Social media has an increasing number of reviews as people are keen to express their opinions based on their experiences. Online reviews have become a precious asset in various disciplines such as intelligent marketing and decision-making.The number of reviews for a well-liked product might reach thousands. This makes it challenging for a prospective buyer to go through them and make up their minds. In order to overcome this challenge, a machine-learning system is needed. Aspect based Opinion mining can be used to extract the aspects from the reviews, then we can analyze the nature of the reviews and recommend them to all the customers. We plan to classify reviews about a target entity as positive, negative and neutral so that readers of the reviews do not have to go through all the reviews but instead can focus on functional items and applicable suggestions. This thesis is specifically focused on reviews in the domain of restaurants. This study extends our knowledge of online reviews by taking into account users’ wants and anticipating their future behavior. Several distinct evaluative linguistic nuances shed light on internet reviews. Using an assortment of models on generated benchmark datasets, we will also empirically show the efficacy of our strategy and show that the new techniques (or modified versions) are superior to, or at least on par with, state-of-the-art methods. Sazid Hasan Tonmoy Faiyaj Bin Ahmed Madhurjya Sarkar Mehejabin Binta Bashar Rafi Ahmed B.Sc in Computer Science 2024-06-23T09:51:43Z 2024-06-23T09:51:43Z ©2023 2023-09 Thesis ID 23241037 ID 23141084 ID 18101574 ID 18101568 ID 16101065 http://hdl.handle.net/10361/23516 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. 73 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Opinion mining Aspect extraction Support vector machine Deep learning Customer feedback Data mining Machine learning
spellingShingle	Opinion mining Aspect extraction Support vector machine Deep learning Customer feedback Data mining Machine learning Tonmoy, Sazid Hasan Ahmed, Faiyaj Bin Sarkar, Madhurjya Bashar, Mehejabin Binta Ahmed, Rafi Aspect based opinion mining on restaurant reviews
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	Sadeque, Farig Yousuf
author_facet	Sadeque, Farig Yousuf Tonmoy, Sazid Hasan Ahmed, Faiyaj Bin Sarkar, Madhurjya Bashar, Mehejabin Binta Ahmed, Rafi
format	Thesis
author	Tonmoy, Sazid Hasan Ahmed, Faiyaj Bin Sarkar, Madhurjya Bashar, Mehejabin Binta Ahmed, Rafi
author_sort	Tonmoy, Sazid Hasan
title	Aspect based opinion mining on restaurant reviews
title_short	Aspect based opinion mining on restaurant reviews
title_full	Aspect based opinion mining on restaurant reviews
title_fullStr	Aspect based opinion mining on restaurant reviews
title_full_unstemmed	Aspect based opinion mining on restaurant reviews
title_sort	aspect based opinion mining on restaurant reviews
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/23516
work_keys_str_mv	AT tonmoysazidhasan aspectbasedopinionminingonrestaurantreviews AT ahmedfaiyajbin aspectbasedopinionminingonrestaurantreviews AT sarkarmadhurjya aspectbasedopinionminingonrestaurantreviews AT basharmehejabinbinta aspectbasedopinionminingonrestaurantreviews AT ahmedrafi aspectbasedopinionminingonrestaurantreviews
_version_	1814307750016974848

Aspect based opinion mining on restaurant reviews

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