International Journal of New Media Technology
Vol 9 No 2 (2022): IJNMT : International Journal of New Media Technology)

Sentiment; Clustering; K-Means Analysis Sentiment in Bukalapak Comments with K-Means Clustering Method

Rena Nainggolan (Universitas Methodist Indonesia)
Fenina Adline Twince Tobing (Unknown)
Eva J.G Harianja (Unknown)

Article Info

Publish Date
09 Jan 2023

Abstract

Technological development are very fast ini this era of globalization, to facilitate the work of many aspevt that can be utilized, as well as for the flow of information. By applying computer technology in varios fields, such as educations, entertainment, healt, tourism, culinary and so on. Clustering id one of the Data Mining techniques. Clustering works by combining a number of data or objects into one cluster, with the aim that each data ini one cluster will have data that is a similar as possible and different from data or objects in other groups. K-Means Clustering has the ability to perform computations that are relatively fast and efficient in combining large amounts of data. In this research, there are 1407 comments which will training data and testing data.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
International Journal of New Media Technology
Website

Abbrev

IJNMT

Publisher

Universitas Multimedia Nusantara

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

International Journal of New Media Technology (IJNMT) is a scholarly open access, peer-reviewed, and interdisciplinary journal focusing on theories, methods, and implementations of new media technology. IJNMT is published annually by Faculty of Engineering and Informatics, Universitas Multimedia ...