Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC University
2018
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10361-101242022-01-26T10:21:53Z Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis Shourin, Bushra Shawgat, Kazi Sayef Chowdhury, Serajur Reza Arif, Hossain Department of Computer Science and Engineering, BRAC University Opinion Sentiment analysis Facebook Facebook graph API Naïve bayes classifier This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 24-26). In this modern age where providing and consuming services through online exchange has become a daily chore, everyone loves to participate and give opinions about the services he or she consumes. Nowadays this participation is taking place much more on social sites rather than in a complain box. Facebook is one of the most commonly used social media sites where people voice their opinions on just about everything. So many service providers take the platform to promote their services among the customers. Tele-communication sector is one of them. It is quite apparent that many Tele-communication company maintains a Facebook page or group to promote their services to the customers and get feedback from them. A large number of data is being produced in this way daily. Telephone companies collect data of customers and often provide special offers to all or particular customers. Customers give their view about those offers on social networking sites. With the help of their opinions the offers become more realistic, attractive and in the meantime profitable. But the amount of data being produced daily is massive and growing. So it is fairly hard or improbable to go through all the data and come to a decision. It needs a special kind of procedure which has to be dynamic and efficient based on time and expense. In this thesis, We will extract all the opinions (comments as text data) from the respective Facebook pages using the Facebook graph API provided by Facebook application and go through noise cleaning, applying algorithm and classifier to calculate the sentiment polarity to come to a decision whether the offers provided by the company are getting good feedback or being criticized. We will use Naïve Bayes classifier for our sentiment analysis. Bushra Shourin Kazi Sayef Shawgat Serajur Reza Chowdhury B. Computer Science and Engineering 2018-05-10T10:59:02Z 2018-05-10T10:59:02Z 2018 2018-04 Thesis ID 14101104 ID 13201046 ID 18141011 http://hdl.handle.net/10361/10124 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. 26 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Opinion Sentiment analysis Facebook graph API Naïve bayes classifier |
| spellingShingle |
Opinion Sentiment analysis Facebook graph API Naïve bayes classifier Shourin, Bushra Shawgat, Kazi Sayef Chowdhury, Serajur Reza Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Shourin, Bushra Shawgat, Kazi Sayef Chowdhury, Serajur Reza |
| format |
Thesis |
| author |
Shourin, Bushra Shawgat, Kazi Sayef Chowdhury, Serajur Reza |
| author_sort |
Shourin, Bushra |
| title |
Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| title_short |
Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| title_full |
Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| title_fullStr |
Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| title_full_unstemmed |
Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| title_sort |
analyzing data of social media to evaluate customer behavior of companies using sentiment analysis |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10124 |
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