TikNep: content analysis of Nepali TikTok users using natural language processing
Date
2024-05
Journal Title
Journal ISSN
Volume Title
Publisher
BRAC University
Abstract
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.
Description
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 49-52).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Includes bibliographical references (pages 49-52).
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Keywords
Natural language processing, Content analysis, TikTok, Social influence, Sentiment analysis, Hate speech, Multi-label topic classification, Machine learning