Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic

The community’s need for conditions that are safe from disasters is the basis for the problems of the system to be created. The system that will be created is able to detect the meaning of words from Whatsapp data obtained from the public. The data used is Whatsapp social media data, systematics of...

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Autores principales:	Subowo Edy, Soeprobowati Tri Retnaningsih, Widodo Aris Puji
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/1367c2af428444b3b9a23e03223b0d14
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spelling	oai:doaj.org-article:1367c2af428444b3b9a23e03223b0d142021-11-08T15:19:57ZPrediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic2267-124210.1051/e3sconf/202131705020https://doaj.org/article/1367c2af428444b3b9a23e03223b0d142021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/93/e3sconf_icenis2021_05020.pdfhttps://doaj.org/toc/2267-1242The community’s need for conditions that are safe from disasters is the basis for the problems of the system to be created. The system that will be created is able to detect the meaning of words from Whatsapp data obtained from the public. The data used is Whatsapp social media data, systematics of data processing starts from pre-processing and ends with an extended factorization matrix Word2Vec analysis, which is called Continuous Bag-of-Word (CBOW) to get the meaning of sentences as early detection of disaster locations. The system can extract 43% required Whatsapp data in the total of data processed by the system, and total accuracy on Word2Vec is 79%.Subowo EdySoeprobowati Tri RetnaningsihWidodo Aris PujiEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 317, p 05020 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Subowo Edy Soeprobowati Tri Retnaningsih Widodo Aris Puji Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic
description	The community’s need for conditions that are safe from disasters is the basis for the problems of the system to be created. The system that will be created is able to detect the meaning of words from Whatsapp data obtained from the public. The data used is Whatsapp social media data, systematics of data processing starts from pre-processing and ends with an extended factorization matrix Word2Vec analysis, which is called Continuous Bag-of-Word (CBOW) to get the meaning of sentences as early detection of disaster locations. The system can extract 43% required Whatsapp data in the total of data processed by the system, and total accuracy on Word2Vec is 79%.
format	article
author	Subowo Edy Soeprobowati Tri Retnaningsih Widodo Aris Puji
author_facet	Subowo Edy Soeprobowati Tri Retnaningsih Widodo Aris Puji
author_sort	Subowo Edy
title	Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic
title_short	Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic
title_full	Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic
title_fullStr	Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic
title_full_unstemmed	Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic
title_sort	prediction meaning of words with word2vec on whatsapp data for disaster topic
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/1367c2af428444b3b9a23e03223b0d14
work_keys_str_mv	AT subowoedy predictionmeaningofwordswithword2veconwhatsappdatafordisastertopic AT soeprobowatitriretnaningsih predictionmeaningofwordswithword2veconwhatsappdatafordisastertopic AT widodoarispuji predictionmeaningofwordswithword2veconwhatsappdatafordisastertopic
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Prediction Meaning of Words with Word2Vec on Whatsapp Data for Disaster Topic

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