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Development of intelligent telegram Chatbot using natural language processing

Gunawan, Teddy Surya and Babiker, Asaad Balla Falelmula and Ismail, Nanang and Effendi, Mufid Ridlo (2021) Development of intelligent telegram Chatbot using natural language processing. In: 7th International Conference on Wireless and Telematics (ICWT) 2021, 19 - 20 August 2021, Bandung.

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Intelligent chatbots have been gaining interest in the past years due to the advance of artificial intelligence algorithms. As a result, many studies have been conducted on emotional transition and dialog structures. One of the benefits is on the medical applications, in which psychological assessment, clinical counseling, autism diagnostics, and advanced cognitive models could be provided. On the other hand, chatbot knowledge generally comes from a web-based information repository, in which the information is reliable, but it is rather not versatile as it does not contain emotions. The objective of this paper is to develop an intelligent chatbot using natural language processing and Telegram API. First, text processing using Telegram API on Python was developed. Next, emotion recognition was performed on the recorded chats. The appropriate response is then sent to the user. Results showed that our Telegram chatbot could interact smoothly with the users and identify the user's emotions.

Item Type: Conference or Workshop Item (Plenary Papers)
Uncontrolled Keywords: Telegram API, chatbot, natural language processing, emotion
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering
Depositing User: Prof. Dr. Teddy Surya Gunawan
Date Deposited: 06 Jan 2022 08:31
Last Modified: 09 Mar 2022 12:03
URI: http://irep.iium.edu.my/id/eprint/96037

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