Development of a chatbot for the online application telegram chat with an approach to the emotion classification text using the IndoBERT-lite method

Hulliyah, Khodijah and Rayyan, Faishal and Awang Abu Bakar, Normi Sham (2022) Development of a chatbot for the online application telegram chat with an approach to the emotion classification text using the IndoBERT-lite method. In: 4th International Conference on Cybernetics and Intelligent System (ICORIS), 8th - 9th October 2022, Prapat, Indonesia.

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Abstract

The increasing preference for text-based communication on online chat applications has caused the number of social interactions to increase rapidly. However, textbased communication usually results in misunderstandings resulting from the absence of feeling intonation and emotions in the text. This study aims to create a chatbot that can detect emotions text to be entered into online chat applications. This study used a pre-trained model specifically trained from a collection of Indonesian-language datasets, namely IndoBERTlite. The dataset used to train the model is a collection of Indonesian tweets totaling 4,403 which have been labeled with 5 classes of emotions, namely love, happy, anger, sadness, and fear. The hyperparameters used in this study to train the model were 5 epochs, batch size 16, learning rate 0.000003, and adam optimizer. Based on the test results with the parameters already mentioned, the accuracy, F1 score, recall, and precision values were obtained in the training set of 89%, 89%, 89%, and 90%, while the validation set obtained 70%, 71%, 70%, and 72%.

Item Type:	Proceeding Paper (Slide Presentation)
Uncontrolled Keywords:	Online chat application, emotion classification, chatbot, pre-trained model, IndoBERT-lite, Telegram
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Normi Sham Awang Abu Bakar
Date Deposited:	25 Aug 2023 10:45
Last Modified:	27 Jan 2024 09:36
URI:	http://irep.iium.edu.my/id/eprint/106191

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