Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal The Indonesian Journal of Computer Science
Anggun Ramadina
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering Engineering

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

Found 1 Documents
Search

 1 
Knowledge Extraction dari Ulasan Aplikasi Gojek Menggunakan Analisis Sentimen Berbasis Aspek Anggun Ramadina; Ken Ditha Tania
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4020

Abstract

Social media is transforming business, costumer relations, and behavior. The involvement of customers and impacts from social media affect product or service performance. This is because the consumer’s reviews are another important factor that builds brand image by showing product advantages and disadvantages. In order to enhance the business environment, the company may utilize this knowledge base to evaluate and enhance its business activities. The knowledge base approach might help the company or organization examine and extract information by using knowledge extraction. In this research, knowledge Extraction utilize Aspect-based Sentiment Analysis as the method for a better understanding and improving in analyze Gojek application reviews with Machine Learning approach by using Support Vector Machine (SVM).
Co-Authors Ken Ditha Tania