New approch of opinion analysis from big social data environment using a supervised machine learning algirithm

Sentiment analysis is a very substantial area of research in our environment. Many studies have focused on the topic in recent years. It has rapidly gained interest due to the unusual volume of opinion-bearing data on the Internet (Big Social Data). In this paper, we focus on sentiment environment a...

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Autores principales:	Saidi Wiam, El Abderahmani Abdellatif, Satori Khalid
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	opinion mining big social data machine learning classification extraction svm Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/1c66b0e27b924d37b35f7d756f4a1339
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spelling	oai:doaj.org-article:1c66b0e27b924d37b35f7d756f4a13392021-11-12T11:44:08ZNew approch of opinion analysis from big social data environment using a supervised machine learning algirithm2267-124210.1051/e3sconf/202131901037https://doaj.org/article/1c66b0e27b924d37b35f7d756f4a13392021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/95/e3sconf_vigisan_01037.pdfhttps://doaj.org/toc/2267-1242Sentiment analysis is a very substantial area of research in our environment. Many studies have focused on the topic in recent years. It has rapidly gained interest due to the unusual volume of opinion-bearing data on the Internet (Big Social Data). In this paper, we focus on sentiment environment analysis from Amazon customer reviews shared by a machine learning based approach. This process starts with the collection of reviews and their annotation followed by a text pre-processing phase in order to extract words that are reduced to their root. These words will be used for the construction of input variables using several combinations of extraction and weighting schemes. Classification is then performed by a supervised Machine Learning classifier. The results obtained from the experiments are very promising.Saidi WiamEl Abderahmani AbdellatifSatori KhalidEDP Sciencesarticleopinion miningbig social datamachine learningclassificationextractionsvmEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 319, p 01037 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	opinion mining big social data machine learning classification extraction svm Environmental sciences GE1-350
spellingShingle	opinion mining big social data machine learning classification extraction svm Environmental sciences GE1-350 Saidi Wiam El Abderahmani Abdellatif Satori Khalid New approch of opinion analysis from big social data environment using a supervised machine learning algirithm
description	Sentiment analysis is a very substantial area of research in our environment. Many studies have focused on the topic in recent years. It has rapidly gained interest due to the unusual volume of opinion-bearing data on the Internet (Big Social Data). In this paper, we focus on sentiment environment analysis from Amazon customer reviews shared by a machine learning based approach. This process starts with the collection of reviews and their annotation followed by a text pre-processing phase in order to extract words that are reduced to their root. These words will be used for the construction of input variables using several combinations of extraction and weighting schemes. Classification is then performed by a supervised Machine Learning classifier. The results obtained from the experiments are very promising.
format	article
author	Saidi Wiam El Abderahmani Abdellatif Satori Khalid
author_facet	Saidi Wiam El Abderahmani Abdellatif Satori Khalid
author_sort	Saidi Wiam
title	New approch of opinion analysis from big social data environment using a supervised machine learning algirithm
title_short	New approch of opinion analysis from big social data environment using a supervised machine learning algirithm
title_full	New approch of opinion analysis from big social data environment using a supervised machine learning algirithm
title_fullStr	New approch of opinion analysis from big social data environment using a supervised machine learning algirithm
title_full_unstemmed	New approch of opinion analysis from big social data environment using a supervised machine learning algirithm
title_sort	new approch of opinion analysis from big social data environment using a supervised machine learning algirithm
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/1c66b0e27b924d37b35f7d756f4a1339
work_keys_str_mv	AT saidiwiam newapprochofopinionanalysisfrombigsocialdataenvironmentusingasupervisedmachinelearningalgirithm AT elabderahmaniabdellatif newapprochofopinionanalysisfrombigsocialdataenvironmentusingasupervisedmachinelearningalgirithm AT satorikhalid newapprochofopinionanalysisfrombigsocialdataenvironmentusingasupervisedmachinelearningalgirithm
_version_	1718430604865830912

New approch of opinion analysis from big social data environment using a supervised machine learning algirithm

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