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All Journal (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
I Komang Surya Adinandika
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Computer Science & IT

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Improving The Accuracy of Sentiment Analysis using Slang Words Lexicon and Spelling Correction I Komang Surya Adinandika; I Gusti Agung Gede Arya Kadyanan
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 12 No 2 (2023): JELIKU Volume 12 No 2, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2023.v12.i02.p04

Abstract

Text pre-processing has long been a research subject to improve accuracy of Natural Language Processing models. In this paper we propose a technique for text sentiment classification with extra steps on text pre-processing using slang word lexicon and spelling correction to annotate non-formal Indonesian text and normalize them. This study aims to improve the accuracy of sentiment analysis models by strengthening text pre-processing methods. We compared the performance of these preprocessing methods using 2 popular classification algorithms: Support Vector Machine (SVM) and Naïve Bayes, and 3 different feature extraction methods: term presence, Bag of Words, and TF-IDF. Model was trained and tested with 1705 datasets of twitter posts from Indonesian users about Covid 19. Result show
Co-Authors Gede Sukadarmika I Gusti Agung Gede Arya Kadyanan Ngurah Agus Sanjaya ER Ni Made Ary Esta Dewi Wirastuti