Multinomial Naïve Bayes and Rapid Automatic Keywords Extraction for Taharah (Purify) Law Chatbot

Muhtar, Rizkhita; Gerhana, Yana; Maylawati, Dian; Slamet, Cepy; Alam, Cecep; Darmalaksana, Wahyudin; Ramdhani, Muhammad

Multinomial Naïve Bayes and Rapid Automatic Keywords Extraction for Taharah (Purify) Law Chatbot

Muhtar, Rizkhita and Gerhana, Yana and Maylawati, Dian and Slamet, Cepy and Alam, Cecep and Darmalaksana, Wahyudin and Ramdhani, Muhammad (2021) Multinomial Naïve Bayes and Rapid Automatic Keywords Extraction for Taharah (Purify) Law Chatbot. In: Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia..

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Abstract

The aim of this study is to utilize the Natural Language Processing (NLP) technology, one of them is in the form of a chatbot. Chatbot has the ability to answer the questions as a conversational search engine. The methods that used on chatbot’s machine are Multinomial Naïve Bayes (MNB) with TF-IDF v

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 13:57
Last Modified:	17 Apr 2026 09:41
URI:	http://eprints.eai.eu/id/eprint/32418

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