Evaluating user influence in Twitter based on hashtags using data mining
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
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| Формат: | Диссертация |
| Язык: | English |
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BRAC University
2018
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| Online-ссылка: | http://hdl.handle.net/10361/8907 |
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10361-89072022-01-26T10:19:57Z Evaluating user influence in Twitter based on hashtags using data mining Neha, Maheen Absar Rahman, Md. Intisher Nuzhat, Mahpara Zereen, Sifat Suraiya Tairin Department of Computer Science and Engineering, BRAC University Twitter Statistica Hashtags Tweet Data mining Text mining This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. Cataloged from PDF version of thesis report. Includes bibliographical references (page 54-55). As more and more data is being processed and generated every day, it has become a tremendous challenge to process and analyze. Big data analysis is a process of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. It can help understand the information contained within data using specialized tools and applications for predictive analysis, data mining, text mining, forecasting and data optimization. We will be working with data from the most popular microblogging platform, Twitter, to study the social issues concerning various forms of harassment. Twitter users categorize status messages (Tweets) using hashtags, which are also used for searching specific topics or events. We can determine trends in Twitter-documented bullying among different demographics by analyzing the hashtags which represent different forms of social attacks, incidents of oppression, discrimination and cultural persecution. Out of the several tools used worldwide to interpret datasets, we will be using an advanced data mining tool called STATISTICA. Maheen Absar Neha Md. Intisher Rahman Mahpara Nuzhat Sifat Zereen B. Computer Science and Engineering 2018-01-04T03:38:44Z 2018-01-04T03:38:44Z 2017 2017-08 Thesis ID 14141003 ID 13241007 ID 16341013 ID 13201012 http://hdl.handle.net/10361/8907 en BRAC University thesis 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. 55 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Twitter Statistica Hashtags Tweet Data mining Text mining |
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Twitter Statistica Hashtags Tweet Data mining Text mining Neha, Maheen Absar Rahman, Md. Intisher Nuzhat, Mahpara Zereen, Sifat Evaluating user influence in Twitter based on hashtags using data mining |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. |
| author2 |
Suraiya Tairin |
| author_facet |
Suraiya Tairin Neha, Maheen Absar Rahman, Md. Intisher Nuzhat, Mahpara Zereen, Sifat |
| format |
Thesis |
| author |
Neha, Maheen Absar Rahman, Md. Intisher Nuzhat, Mahpara Zereen, Sifat |
| author_sort |
Neha, Maheen Absar |
| title |
Evaluating user influence in Twitter based on hashtags using data mining |
| title_short |
Evaluating user influence in Twitter based on hashtags using data mining |
| title_full |
Evaluating user influence in Twitter based on hashtags using data mining |
| title_fullStr |
Evaluating user influence in Twitter based on hashtags using data mining |
| title_full_unstemmed |
Evaluating user influence in Twitter based on hashtags using data mining |
| title_sort |
evaluating user influence in twitter based on hashtags using data mining |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/8907 |
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