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Sentiment analysis on TikTok using RapidMiner

Link to publisher's homepage at https://amci.unimap.edu.my/

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Bibliographic Details
Main Authors: Muhammad Firdaus, Mustapha, Nurul Shahazira, Rosli, Maira Madihah, Mohamed Azmee, Nur ‘Aisyah, Mohd Samsudin
Other Authors: mdfirdaus@uitm.edu.my
Format: Article
Language:English
Published: Institute of Engineering Mathematics, Universiti Malaysia Perlis 2023
Subjects:
RapidMiner
Sentiment Analysis
TikTok
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77706
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spelling my.unimap-777062023-01-24T13:03:06Z Sentiment analysis on TikTok using RapidMiner Muhammad Firdaus, Mustapha Nurul Shahazira, Rosli Maira Madihah, Mohamed Azmee Nur ‘Aisyah, Mohd Samsudin Muhammad Firdaus, Mustapha mdfirdaus@uitm.edu.my Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Kelantan, Bukit Ilmu, 18500 Machang, Kelantan, Malaysia RapidMiner Sentiment Analysis TikTok Link to publisher's homepage at https://amci.unimap.edu.my/ Users commonly provide feedback on certain applications. Users can provide either positive, negative or neutral reviews. To determine whether the reviews are positive, negative or neutral, this study use sentiment analysis through various methods of text mining and materials. In this study, a sentiment analysis application for TikTok analysis was conducted using RapidMiner. This project is conducted based on three issues from TikTok which are account review, sound review and video review. These issues are analyzed using Decision Tree, Naive Bayes and k-NN. RapidMiner is used throughout the process to ensure that the data is accurately performed. Then, the result is gathered by checking the accuracy of data based on the three methods. To analyze the data and obtain an exact performance of the outcome, the process of visualization and modelling is required. The analysis of the reviews from the users shows that majority reviews were positive compared to the negative and neutral reviews especially on video issue. 2023-01-24T13:03:06Z 2023-01-24T13:03:06Z 2022-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.11(1), 2022, pages 360-372 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77706 https://amci.unimap.edu.my/ en Institute of Engineering Mathematics, Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic RapidMiner
Sentiment Analysis
TikTok
spellingShingle RapidMiner
Sentiment Analysis
TikTok
Muhammad Firdaus, Mustapha
Nurul Shahazira, Rosli
Maira Madihah, Mohamed Azmee
Nur ‘Aisyah, Mohd Samsudin
Muhammad Firdaus, Mustapha
Sentiment analysis on TikTok using RapidMiner
description Link to publisher's homepage at https://amci.unimap.edu.my/
author2 mdfirdaus@uitm.edu.my
author_facet mdfirdaus@uitm.edu.my
Muhammad Firdaus, Mustapha
Nurul Shahazira, Rosli
Maira Madihah, Mohamed Azmee
Nur ‘Aisyah, Mohd Samsudin
Muhammad Firdaus, Mustapha
format Article
author Muhammad Firdaus, Mustapha
Nurul Shahazira, Rosli
Maira Madihah, Mohamed Azmee
Nur ‘Aisyah, Mohd Samsudin
Muhammad Firdaus, Mustapha
author_sort Muhammad Firdaus, Mustapha
title Sentiment analysis on TikTok using RapidMiner
title_short Sentiment analysis on TikTok using RapidMiner
title_full Sentiment analysis on TikTok using RapidMiner
title_fullStr Sentiment analysis on TikTok using RapidMiner
title_full_unstemmed Sentiment analysis on TikTok using RapidMiner
title_sort sentiment analysis on tiktok using rapidminer
publisher Institute of Engineering Mathematics, Universiti Malaysia Perlis
publishDate 2023
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77706
_version_ 1772813099176296448
score 13.222552

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