Sentiment Analysis for Social Media

Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in indus...

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Autors principals:	Moreno, Antonio, Iglesias, Carlos A.
Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2021
Matèries:	TA1-2040 T1-995 opinion mining affect computing health insurance Twitter hybrid vectorization violence against women word association collaborative schemes of sentiment analysis and sentiment systems random forest cyber-aggression deep learning online review emotion analysis lexicon construction provider networks text mining sentiment lexicon social media sentiment-aware word embedding psychographic segmentation medical web forum gender classification racism sentiment analysis sentiment classification sentiment word analysis social networks convolutional neural network review data mining machine learning emotion classification big data-driven marketing text feature representation recommender system user preference prediction violence based on sexual orientation semantic networks thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:	45980
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Sentiment Analysis for Social Media

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