Cyberbullying detection using sentiment analysis in social media
Cataloged from PDF version of thesis report.
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| বিন্যাস: | গবেষণাপত্র |
| ভাষা: | English |
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BRAC University
2016
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | http://hdl.handle.net/10361/6420 |
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10361-6420 |
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10361-64202022-01-26T10:23:17Z Cyberbullying detection using sentiment analysis in social media Sintaha, Mifta Satter, Shahed Bin Zawad, Niamat Swarnaker, Chaity Hassan, Ahanaf Mostakim, Moin Department of Computer Science and Engineering, BRAC University Support vector machine RBF kernel Cyberbullying detection Social media Cataloged from PDF version of thesis report. Includes bibliographical references (page 47-49). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. In this day and age, the usage of Social Media has increased enormously in our daily lives. People like to share their experiences in various social media accounts for their friends to see. Consequently, the possibility and growth of cyber threats have increased as well. To reduce this situation, we try to propose a system that can detect cyber crimes such as fraud, blackmail, spam, impersonation etc. from the social media network Twitter. This type of study can help people to detect early threats and possible criminal activity and the types of accounts to stay alert of in real time thereby creating a more secure social media experience. Our main goal is to compare various sentiment analysis approaches for detecting bullying or threats from social media using three different machine learning algorithms and form a comparison to determine which among the three gives out the highest accuracy in order for us to decide how to detect cyber bullying activity on the Internet and be alert of threats in both the real and virtual world. Mifta Sintaha Shahed Bin Satter Niamat Zawad Chaity Swarnaker Ahanaf Hassan B. Computer Science and Engineering 2016-09-20T05:18:10Z 2016-09-20T05:18:10Z 2016 8/18/2016 Thesis ID 13101123 ID 13101258 ID 13101283 ID 13101290 ID 13101002 http://hdl.handle.net/10361/6420 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. 49 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Support vector machine RBF kernel Cyberbullying detection Social media |
| spellingShingle |
Support vector machine RBF kernel Cyberbullying detection Social media Sintaha, Mifta Satter, Shahed Bin Zawad, Niamat Swarnaker, Chaity Hassan, Ahanaf Cyberbullying detection using sentiment analysis in social media |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Mostakim, Moin |
| author_facet |
Mostakim, Moin Sintaha, Mifta Satter, Shahed Bin Zawad, Niamat Swarnaker, Chaity Hassan, Ahanaf |
| format |
Thesis |
| author |
Sintaha, Mifta Satter, Shahed Bin Zawad, Niamat Swarnaker, Chaity Hassan, Ahanaf |
| author_sort |
Sintaha, Mifta |
| title |
Cyberbullying detection using sentiment analysis in social media |
| title_short |
Cyberbullying detection using sentiment analysis in social media |
| title_full |
Cyberbullying detection using sentiment analysis in social media |
| title_fullStr |
Cyberbullying detection using sentiment analysis in social media |
| title_full_unstemmed |
Cyberbullying detection using sentiment analysis in social media |
| title_sort |
cyberbullying detection using sentiment analysis in social media |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/6420 |
| work_keys_str_mv |
AT sintahamifta cyberbullyingdetectionusingsentimentanalysisinsocialmedia AT sattershahedbin cyberbullyingdetectionusingsentimentanalysisinsocialmedia AT zawadniamat cyberbullyingdetectionusingsentimentanalysisinsocialmedia AT swarnakerchaity cyberbullyingdetectionusingsentimentanalysisinsocialmedia AT hassanahanaf cyberbullyingdetectionusingsentimentanalysisinsocialmedia |
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