TikNep: content analysis of Nepali TikTok users using natural language processing
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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| भाषा: | English |
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Brac University
2024
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| ऑनलाइन पहुंच: | http://hdl.handle.net/10361/24343 |
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10361-24343 |
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10361-243432024-10-17T21:01:07Z TikNep: content analysis of Nepali TikTok users using natural language processing Dhakal, Aakar Lamichhane, Ashok Jha, Aatish Kumar Singh, Mukund Prasad Sadeque, Farig Yousuf Department of Computer Science and Engineering, Brac University Natural language processing Content analysis TikTok Social influence Sentiment analysis Hate speech Multi-label topic classification Machine learning Natural language processing (Computer science). Content analysis (Communication)--Data processing. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 49-52). Nepal, with an approximate population of 29 million, has over 2.2 million active TikTok users, TikTok has gained attention as a platform for self-expression and social connection among diverse age groups. Users in Nepal are using TikTok to share their opinions on matters related to politics, social issues, pop culture, lifestyle and beauty, sports, etc. While the content on platforms like Facebook and Twitter has been studied and evaluated thoroughly, the impact and influence of TikTok’s content on Nepali society have not been assessed yet. In this study, we propose to analyze content on Nepal’s TikTok using Natural Language Processing (NLP) tools to draw conclusions regarding where the conversation is being shifted towards. To meet this objective, we will focus on the comments posted by users on popular TikTok videos in Nepal and conduct Sentiment Analysis, Hate-Offense Detection, Political Stance Detection, and Multi-label Topic Classification. Aakar Dhakal Ashok Lamichhane Aatish Kumar Jha Mukund Prasad Singh Aakar Dhakal Ashok Lamichhane Aatish Kumar Jha Mukund Prasad Singh B.Sc. in Computer Science 2024-10-17T06:06:54Z 2024-10-17T06:06:54Z ©2024 2024-05 Thesis ID 20201203 ID 21201785 ID 20201206 ID 20201202 http://hdl.handle.net/10361/24343 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. 62 pages application/pdf Brac University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Natural language processing Content analysis TikTok Social influence Sentiment analysis Hate speech Multi-label topic classification Machine learning Natural language processing (Computer science). Content analysis (Communication)--Data processing. |
| spellingShingle |
Natural language processing Content analysis TikTok Social influence Sentiment analysis Hate speech Multi-label topic classification Machine learning Natural language processing (Computer science). Content analysis (Communication)--Data processing. Dhakal, Aakar Lamichhane, Ashok Jha, Aatish Kumar Singh, Mukund Prasad TikNep: content analysis of Nepali TikTok users using natural language processing |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
| author2 |
Sadeque, Farig Yousuf |
| author_facet |
Sadeque, Farig Yousuf Dhakal, Aakar Lamichhane, Ashok Jha, Aatish Kumar Singh, Mukund Prasad |
| format |
Thesis |
| author |
Dhakal, Aakar Lamichhane, Ashok Jha, Aatish Kumar Singh, Mukund Prasad |
| author_sort |
Dhakal, Aakar |
| title |
TikNep: content analysis of Nepali TikTok users using natural language processing |
| title_short |
TikNep: content analysis of Nepali TikTok users using natural language processing |
| title_full |
TikNep: content analysis of Nepali TikTok users using natural language processing |
| title_fullStr |
TikNep: content analysis of Nepali TikTok users using natural language processing |
| title_full_unstemmed |
TikNep: content analysis of Nepali TikTok users using natural language processing |
| title_sort |
tiknep: content analysis of nepali tiktok users using natural language processing |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/24343 |
| work_keys_str_mv |
AT dhakalaakar tiknepcontentanalysisofnepalitiktokusersusingnaturallanguageprocessing AT lamichhaneashok tiknepcontentanalysisofnepalitiktokusersusingnaturallanguageprocessing AT jhaaatishkumar tiknepcontentanalysisofnepalitiktokusersusingnaturallanguageprocessing AT singhmukundprasad tiknepcontentanalysisofnepalitiktokusersusingnaturallanguageprocessing |
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1814307378431000576 |