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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Glenn Jonathan Satria
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Klasifikasi Pertanyaan COVID-19 Bahasa Indonesia menggunakan Naive Bayes Glenn Jonathan Satria; Putra Pandu Adikara; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Question Answering (QA) is a system that provide answer from question given from user. In QA there is one task called question analysis. Question analysis act as type chooser from query user input. Question analysis can be found with classification. This research using Naive Bayes as classification method. Furthermore, several process used from natural language processing such as question feature extraction and preprocessing contain data cleaning, stemming, stopword removal, and tokenization. Next phase is to build a classification model from training data which contain 16 question categories. Based on test result with 2 scenarios with preprocessing and without preprocessing, we obtained accuracy value of 0,58364 with preprocessing. We also obtained accuracy value of 0,65060 without preprocessing. Application of preprocessing in question classification have a negative impact because it changed the given question context.
Co-Authors Putra Pandu Adikara Randy Cahya Wihandika