Analyzing users’ sentiment towards video games based on reviews from microblog

Cataloged from PDF version of thesis.

Detalhes bibliográficos
Main Authors: Roy, Abhijeet, Khan, Mobtasim Hasan, Chakraborty, Shandro
Outros Autores: Uddin, Jia
Formato: Thesis
Idioma:English
Publicado em: BRAC University 2018
Assuntos:
Acesso em linha:http://hdl.handle.net/10361/10143
id 10361-10143
record_format dspace
spelling 10361-101432022-01-26T10:13:22Z Analyzing users’ sentiment towards video games based on reviews from microblog Roy, Abhijeet Khan, Mobtasim Hasan Chakraborty, Shandro Uddin, Jia Department of Computer Science and Engineering, BRAC University Users’ sentiment Video games Microblog Reviews Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-40). This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. This project proposes a new model of sentiment analysis for video game’s reviews. In these days people tend to check reviews and ratings of video games before spending money and time for a game. In the proposed model, ratings for video game will be generated by doing sentiment analysis on public opinion. As Twitter is one of the most popular micro-blogging sites, for public opinion we collected data from Twitter. Before fitting the algorithms we preprocessed the gathered data to a supervised form. In the model Naïve Bayes, Support Vector Machine, Logistic Regression and Stochastic Gradient Descent algorithm were used for performance comparison. They were trained on a training set and to validate the performance the algorithms were tested several times on a test set to get better accuracy. After that a new classifier was used which acted as a voting classifier for the algorithms. This classifier was used for sentiment analysis on the data to get polarity. To validate the model, we generated rating from calculating polarity for each attribute which contains gameplay, graphics, sound, multiplayer and plotted in a graph where results are shown. Abhijeet Roy Mobtasim Hasan Khan Shandro Chakraborty B. Computer Science and Engineering 2018-05-14T06:42:18Z 2018-05-14T06:42:18Z 2018 4/25/2018 Thesis ID 13301130 ID 13201039 ID 14101107 http://hdl.handle.net/10361/10143 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. 40 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Users’ sentiment
Video games
Microblog
Reviews
spellingShingle Users’ sentiment
Video games
Microblog
Reviews
Roy, Abhijeet
Khan, Mobtasim Hasan
Chakraborty, Shandro
Analyzing users’ sentiment towards video games based on reviews from microblog
description Cataloged from PDF version of thesis.
author2 Uddin, Jia
author_facet Uddin, Jia
Roy, Abhijeet
Khan, Mobtasim Hasan
Chakraborty, Shandro
format Thesis
author Roy, Abhijeet
Khan, Mobtasim Hasan
Chakraborty, Shandro
author_sort Roy, Abhijeet
title Analyzing users’ sentiment towards video games based on reviews from microblog
title_short Analyzing users’ sentiment towards video games based on reviews from microblog
title_full Analyzing users’ sentiment towards video games based on reviews from microblog
title_fullStr Analyzing users’ sentiment towards video games based on reviews from microblog
title_full_unstemmed Analyzing users’ sentiment towards video games based on reviews from microblog
title_sort analyzing users’ sentiment towards video games based on reviews from microblog
publisher BRAC University
publishDate 2018
url http://hdl.handle.net/10361/10143
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