Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories

In the modern era, the implementation of chatbot can be used in various fields of science. This research will focus on the application of sentence classification using the News Aggregator Dataset that is used to test the model against the categories determined to create the chatbot program. The resu...

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Autores principales:	Prasnurzaki Anki, Alhadi Bustamam, Rinaldi Anwar Buyung
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	chatbot GRU Bi-GRU 1D CNN 1D CNN transpose Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/3360feb6aac84d0f87b70cfda32704d4
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id	oai:doaj.org-article:3360feb6aac84d0f87b70cfda32704d4
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spelling	oai:doaj.org-article:3360feb6aac84d0f87b70cfda32704d42021-11-11T15:41:22ZComparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories10.3390/electronics102126962079-9292https://doaj.org/article/3360feb6aac84d0f87b70cfda32704d42021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2696https://doaj.org/toc/2079-9292In the modern era, the implementation of chatbot can be used in various fields of science. This research will focus on the application of sentence classification using the News Aggregator Dataset that is used to test the model against the categories determined to create the chatbot program. The results of the chatbot program trial by multimodal implementation applied four models (GRU, Bi-GRU, 1D CNN, 1D CNN Transpose) with six variations of parameters to produce the best results from the entire trial. The best test results from this research for the chatbot program using the 1D CNN Transpose model are the best models with detailed characteristics in this research, which produces an accuracy value of 0.9919. The test results on both types of chatbot are expected to produce sentence prediction results and precise and accurate detection results. The stages in making the program are explained in detail; therefore, it is hoped that program users can understand not only how to use the program by entering an input and receiving program output results that are explained in more detail in each sub-topic of this study.Prasnurzaki AnkiAlhadi BustamamRinaldi Anwar BuyungMDPI AGarticlechatbotGRUBi-GRU1D CNN1D CNN transposeElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2696, p 2696 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	chatbot GRU Bi-GRU 1D CNN 1D CNN transpose Electronics TK7800-8360
spellingShingle	chatbot GRU Bi-GRU 1D CNN 1D CNN transpose Electronics TK7800-8360 Prasnurzaki Anki Alhadi Bustamam Rinaldi Anwar Buyung Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories
description	In the modern era, the implementation of chatbot can be used in various fields of science. This research will focus on the application of sentence classification using the News Aggregator Dataset that is used to test the model against the categories determined to create the chatbot program. The results of the chatbot program trial by multimodal implementation applied four models (GRU, Bi-GRU, 1D CNN, 1D CNN Transpose) with six variations of parameters to produce the best results from the entire trial. The best test results from this research for the chatbot program using the 1D CNN Transpose model are the best models with detailed characteristics in this research, which produces an accuracy value of 0.9919. The test results on both types of chatbot are expected to produce sentence prediction results and precise and accurate detection results. The stages in making the program are explained in detail; therefore, it is hoped that program users can understand not only how to use the program by entering an input and receiving program output results that are explained in more detail in each sub-topic of this study.
format	article
author	Prasnurzaki Anki Alhadi Bustamam Rinaldi Anwar Buyung
author_facet	Prasnurzaki Anki Alhadi Bustamam Rinaldi Anwar Buyung
author_sort	Prasnurzaki Anki
title	Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories
title_short	Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories
title_full	Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories
title_fullStr	Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories
title_full_unstemmed	Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories
title_sort	comparative analysis of performance between multimodal implementation of chatbot based on news classification data using categories
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3360feb6aac84d0f87b70cfda32704d4
work_keys_str_mv	AT prasnurzakianki comparativeanalysisofperformancebetweenmultimodalimplementationofchatbotbasedonnewsclassificationdatausingcategories AT alhadibustamam comparativeanalysisofperformancebetweenmultimodalimplementationofchatbotbasedonnewsclassificationdatausingcategories AT rinaldianwarbuyung comparativeanalysisofperformancebetweenmultimodalimplementationofchatbotbasedonnewsclassificationdatausingcategories
_version_	1718434267592130560

Comparative Analysis of Performance between Multimodal Implementation of Chatbot Based on News Classification Data Using Categories

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