Intelmatics
Vol. 4 No. 2 (2024): Juli-Desember

Analysis Of Topic Movement & Conversation Membership On Twitter Using K-Means Clustering

Sediyono, Agung (Unknown)
Valentino Hutagalung, Josua (Unknown)
Solihah, Binti (Unknown)

Article Info

Publish Date
30 Aug 2024

Abstract

Humans are born to socialize with each other. Social media is one of the media to be able to socialize with each other. Twitter is one of the social media that contains hundreds of millions of tweets where the tweet contains news, products that are currently popular, even about the daily life of users who can change. Social Context Analysis is a tool to analyze social changes and individual needs in society from time to time. In this study, the author uses the K-means Clustering method to group topics on Twitter. In its implementation, this research is expected to be able to see the occurrence of topic movements and membership movements on Twitter topics.

Copyrights © 2024




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Journal Info
Intelmatics
Website

Abbrev

intelmatics

Publisher

Universitas Trisakti

Subject

Computer Science & IT

Description

The IntelMatics Journal is a scientific journal published by the department of informatics engineering at Trisakti University. The purpose and objective of the publication of the IntelMatics journal are as a means of dissemination of international standard science in the field of software ...