Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.

Research Article

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

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2298028,
    author={Rizkhita Habib Muhtar and Yana Aditia Gerhana and Dian Sa’adillah Maylawati and Cepy  Slamet and Cecep Nurul Alam and Wahyudin  Darmalaksana and Muhammad Ali Ramdhani},
    title={Multinomial Na\~{n}ve Bayes and Rapid Automatic Keywords Extraction for Taharah (Purify) Law Chatbot},
    proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.},
    publisher={EAI},
    proceedings_a={ICONISTECH},
    year={2021},
    month={1},
    keywords={chatbot multinomial na\~{n}ve bayes natural language processing rapid automatic keywords extraction thaharah text mining},
    doi={10.4108/eai.11-7-2019.2298028}
}
  • Rizkhita Habib Muhtar
    Yana Aditia Gerhana
    Dian Sa’adillah Maylawati
    Cepy Slamet
    Cecep Nurul Alam
    Wahyudin Darmalaksana
    Muhammad Ali Ramdhani
    Year: 2021
    Multinomial Naïve Bayes and Rapid Automatic Keywords Extraction for Taharah (Purify) Law Chatbot
    ICONISTECH
    EAI
    DOI: 10.4108/eai.11-7-2019.2298028
Rizkhita Habib Muhtar1,*, Yana Aditia Gerhana2, Dian Sa’adillah Maylawati3, Cepy Slamet2, Cecep Nurul Alam2, Wahyudin Darmalaksana1, Muhammad Ali Ramdhani1
  • 1: Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
  • 2: Department of Information and Communication Technology, Asia e University, Malaysia
  • 3: Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka Department of Ilmu Hadist, UIN Sunan Gunung Djati Bandung, Indonesia
*Contact email: kikirizkhita@gmail.com

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 vectorization to classify the intent, and Rapid Automatic Keywords Extraction (RAKE) to classify the entity. The methods are implemented for thaharah (purify) law as one of Muslim's daily life that cannot be separated from Islamic law. It is important for Muslims to know the thaharah law. The experiments of the methods against chatbot have used a total of 132 data trains and 44 data tests. Results represented by the Confusion Matrix showed the implementation of methods has the overall accuracy 97% with an average precision 90% and recall 97%, which means MNB and RAKE can give the answer well.

Keywords
chatbot multinomial naïve bayes natural language processing rapid automatic keywords extraction thaharah text mining
Published
2021-01-12
Publisher
EAI
http://dx.doi.org/10.4108/eai.11-7-2019.2298028
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