Analysis Of Twitter User Sentiment To Tiktok Shop Using Naïve
Bayes And Decision Tree Algorithms
Dublin Core
Title
Analysis Of Twitter User Sentiment To Tiktok Shop Using Naïve
Bayes And Decision Tree Algorithms
Bayes And Decision Tree Algorithms
Subject
Sentiment Analysis ,Tiktok Shop, Twitter, Naïve Bayes dan Decision Tree.
Description
The growth of internet users is fantastic, before the pandemic the figure was only 175 million. While the latest data from the
Asosiasi Penyelenggaraan Jasa Internet Indonesia (APJII), in 2022 internet users in Indonesia will reach around 210 million. One of
the influences on the increasing number of internet users in Indonesia is the increasing number of buying and selling activities through
internet media. At this time there are various kinds of e-commerce applications. One of the latest e-commerce in Indonesia is Tiktok
Shop. Tiktok shop is a new feature of the Tiktok application which was established on April 17, 2021. The development of Tiktok shop
cannot be separated from the people who use this feature. Many people give opinions about Tiktok Shop on one of the social media,
namely Twitter. Twitter is a place to get data expressed by the public through tweets posted to the timeline. The data used are tweets
in Indonesian with a dataset of 1000 tweets. The data is then processed to be analyzed for knowledge. The analysis is done with Naïve
Bayes and Decision Tree methods. The accuracy results of the Naïve Bayes algorithm are 90% and the Decision tree algorithm is 93%,
so the Decision Tree algorithm is better for classifying sentiment analysis of twitter users towards Tiktok Shop with a data division of
90%.
Asosiasi Penyelenggaraan Jasa Internet Indonesia (APJII), in 2022 internet users in Indonesia will reach around 210 million. One of
the influences on the increasing number of internet users in Indonesia is the increasing number of buying and selling activities through
internet media. At this time there are various kinds of e-commerce applications. One of the latest e-commerce in Indonesia is Tiktok
Shop. Tiktok shop is a new feature of the Tiktok application which was established on April 17, 2021. The development of Tiktok shop
cannot be separated from the people who use this feature. Many people give opinions about Tiktok Shop on one of the social media,
namely Twitter. Twitter is a place to get data expressed by the public through tweets posted to the timeline. The data used are tweets
in Indonesian with a dataset of 1000 tweets. The data is then processed to be analyzed for knowledge. The analysis is done with Naïve
Bayes and Decision Tree methods. The accuracy results of the Naïve Bayes algorithm are 90% and the Decision tree algorithm is 93%,
so the Decision Tree algorithm is better for classifying sentiment analysis of twitter users towards Tiktok Shop with a data division of
90%.
Creator
Soleh Jafar Sidiq a
, Andi Nur Rachman*b
, Andi Nur Rachman*b
Source
https://jurnal.unsil.ac.id/index.php/jaisi/article/view/8990/3011
Publisher
Departmen of Informatics Enginnering, Universitas Siliwangi, Tasikmalaya, Indonesia
bDepartmen of Informations System, Universitas Siliwangi, Tasikmalaya, Indonesia
bDepartmen of Informations System, Universitas Siliwangi, Tasikmalaya, Indonesia
Date
November 2023
Contributor
fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Soleh Jafar Sidiq a
, Andi Nur Rachman*b
, “Analysis Of Twitter User Sentiment To Tiktok Shop Using Naïve
Bayes And Decision Tree Algorithms,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8356.
Bayes And Decision Tree Algorithms,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8356.