Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Computer System and Informatics (JoSYC)
Andharini Dwi Cahyani
Universitas Trunojoyo Madura, Bangkalan
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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

Found 1 Documents
Search

 1 
Analisa Kinerja Metode Support Vector Machine untuk Analisa Sentimen Ulasan Pengguna Google Maps Andharini Dwi Cahyani
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3426

Abstract

Sentiment Analysis is a subset of data mining that analyzes, understands, processes, and extracts textual data in the form of opinions or reviews about a certain object. The advancement of technology, such as Google Maps, can make it easier to find information on the location of an object. Google Maps also gives an object review. These reviews provide information that can be used to examine the feelings expressed by visitors. A text mining methodology with the Support Vector Machine method is utilized to process customer review text data. This method is part of a classification strategy that recognizes and categorizes data into two portions separated by a hyperplane. The data used in this case study are visitors' reviews that is recorded on Google Maps Review of the Eternal Flame, a tourist attraction obejct located in Sumenep.
Co-Authors