Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal The Journal of Information Technology, Computer Science, and Electrical Engineering
Alwi Pernando
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
NLP, Machine Learning Optimizing Machine Learning in Natural Language Processing to Analyze User Sentiment in the Tiktok Social Media Application: Optimizing Machine Learning in Natural Language Processing to Analyze User Sentiment in the Tiktok Social Media Application Fahmi Setiawan; Izhar Fradila; Alwi Pernando; Supina Batubara
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 2 (2024): June-September 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i2.25

Abstract

This research aims to optimize the use of Machine Learning in Natural Language Processing (NLP) to analyze user sentiment in the social media application TikTok. The growth and development of the TikTok application among users, makes it important for users to understand users' views and feelings towards the content they consume by exploring various Machine Learning techniques that can be used to classify TikTok user sentiment based on text produced using NLP methods, it is hoped that this can provide useful insights. valuable in understanding TikTok users' responses and preferences to the content they encounter on the TikTok platform.
Co-Authors Fahmi Setiawan Izhar Fradila Supina Batubara