Product rating generation based on public opinion using sentiment analysis

Cataloged from PDF version of thesis report.

Bibliographic Details
Main Authors: Rabbi, Reshan Ahmed, Khan, Md. Walid Amin, Shaown, Md., Alam, Md. Shajidul
Other Authors: Uddin, Dr. Jia
Format: Thesis
Language:English
Published: BRAC University 2018
Subjects:
Online Access:http://hdl.handle.net/10361/9474
id 10361-9474
record_format dspace
spelling 10361-94742022-01-26T10:21:52Z Product rating generation based on public opinion using sentiment analysis Rabbi, Reshan Ahmed Khan, Md. Walid Amin Shaown, Md. Alam, Md. Shajidul Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Sentiment analysis Product Rating Rating generation Axis-x Axis-y Cataloged from PDF version of thesis report. Includes bibliographical references (pages 29-30). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. In modern days, people tend to check reviews and opinions on a product before buying. The main goal of our system is according to the public opinion of a product, give a rating to the product on a scale of 0 to 10. Also, we are plotting this rating for better understanding of how every attribute of a product stands against time. For public opinion, we collected data from twitter. The reason behind using twitter tweets is because it is one of the most popular social sites. The data is pre -processed and then filtered for irrelevant characters. The data is then clustered based on different attributes of product. After that using the Naïve Bayes classifier we do a sentiment analysis of the data to calculate the polarity. This polarity is then converted to a scale of 0 to 10 (where 5 is average) and thus the rating of an individual product is obtained. This polarity for each product for every attribute is plotted in a graph where axis-x represents time and axis-y represents polarity. Reshan Ahmed Rabbi Md. Walid Amin Khan Md. Shaown Md. Shajidul Alam B. Computer Science and Engineering 2018-02-15T05:29:19Z 2018-02-15T05:29:19Z 2017 12/24/2017 Thesis ID 13301078 ID 13301034 ID 13301133 ID 13301075 http://hdl.handle.net/10361/9474 en BRAC University thesis reports 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. 30 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Sentiment analysis
Product Rating
Rating generation
Axis-x
Axis-y
spellingShingle Sentiment analysis
Product Rating
Rating generation
Axis-x
Axis-y
Rabbi, Reshan Ahmed
Khan, Md. Walid Amin
Shaown, Md.
Alam, Md. Shajidul
Product rating generation based on public opinion using sentiment analysis
description Cataloged from PDF version of thesis report.
author2 Uddin, Dr. Jia
author_facet Uddin, Dr. Jia
Rabbi, Reshan Ahmed
Khan, Md. Walid Amin
Shaown, Md.
Alam, Md. Shajidul
format Thesis
author Rabbi, Reshan Ahmed
Khan, Md. Walid Amin
Shaown, Md.
Alam, Md. Shajidul
author_sort Rabbi, Reshan Ahmed
title Product rating generation based on public opinion using sentiment analysis
title_short Product rating generation based on public opinion using sentiment analysis
title_full Product rating generation based on public opinion using sentiment analysis
title_fullStr Product rating generation based on public opinion using sentiment analysis
title_full_unstemmed Product rating generation based on public opinion using sentiment analysis
title_sort product rating generation based on public opinion using sentiment analysis
publisher BRAC University
publishDate 2018
url http://hdl.handle.net/10361/9474
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AT khanmdwalidamin productratinggenerationbasedonpublicopinionusingsentimentanalysis
AT shaownmd productratinggenerationbasedonpublicopinionusingsentimentanalysis
AT alammdshajidul productratinggenerationbasedonpublicopinionusingsentimentanalysis
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