Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Mantik
Riska Dwi Ayu Lestari
University of Muhammadiyah Jember
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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

Found 1 Documents
Search

 1 
Application Of N-Gram On K-Nearest Neighbor Algorithm To Sentiment Analysis Of TikTok Shop Shopping Features Riska Dwi Ayu Lestari; Bagus Setya Rintyarna; Moh. Dasuki
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study contains sentiment analysis on Twitter data with the direction of sentiment on the TikTokShop feature. In this study, the k nearest neighbor method is implemented in which the metric distance cosine similarity is used with the value of the nearest neighbor distance k = 3, 5, 7, and 9. In the modeling, a k-fold cross-validation scenario is used with a value of k = 10 fold. This study also uses unigram, bigram, and trigram selection features to handle imbalanced data using undersampling techniques. From the modeling results, it is found that the best modeling is the model with unigram feature selection with nearest neighbor k = 3. From this model, the average accuracy value is 89.92%, the average precision is 90.54% and the recall average is 87.37%. In the test, the results showed that the unigram feature selection had the best performance with 91% accuracy, 92% precision, and 89% recall
Co-Authors Bagus Setya Rintyarna Moh. Dasuki