Sentiment Analysis Provider By.U on Google Play Store Reviews with TF-IDF and Support Vector Machine (SVM) Method
Fransiska Susanti
Primary Author
mixed material
bibliography
Semarang
Universitas Negeri Semarang
2020
e
English
hlm : 203-212
Scientific Journal of Informatics
Abstract
Provider By.U is a relatively new and attractive telecommunications service with claims to be the first digital provider in Indonesia. All services are done digitally with the By.U application that offers convenience. Even so not all users are satisfied with the service, there are criticisms and suggestions, one of which is delivered through the By.U app review feature on the Google Play Store. Sentiment analysis is performed to extract information related to provider by.U. The steps taken are scrapping review data, positive and negative labeling, preprocessing data including data cleaning, data normalization, stopword removal and negation handling, sentiment classification using Support Vector Machine (SVM) and TF-IDF as feature extraction. TF-IDF+SVM with 5-Fold Validation produces pretty good accuracy with an average accuracy of 84.7%, precision of 84.9%, recall of 84.7%, and f-measure of 84.8%. The highest accuracy results in fold 2, 86.1%. The effect of TF-IDF on the measurement of model performance is not so great, but it is better.
Informatika
SJI
24077658
Perpustakaan Teknik UPI YAI
SJI V7N2 November 2020
SJI2-005
Perpustakaan FT UPI YAI
SJI V7N2 November 2020
SJI_V7N2_November_2020.jpg.jpg
58978
2023-02-07 15:36:22
2023-02-07 15:36:22
machine generated