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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Bibliographic Details
Main Author: Moreno, Antonio
Other Authors: Iglesias, Carlos A.
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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245 0 0 |a Sentiment Analysis for Social Media  |h Elektronische Ressource 
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300 |a 1 electronic resource (152 p.) 
653 |a machine learning 
653 |a semantic networks 
653 |a psychographic segmentation 
653 |a violence against women 
653 |a random forest 
653 |a big data-driven marketing 
653 |a emotion classification 
653 |a online review 
653 |a deep learning 
653 |a History of engineering and technology / bicssc 
653 |a social media 
653 |a collaborative schemes of sentiment analysis and sentiment systems 
653 |a affect computing 
653 |a user preference prediction 
653 |a provider networks 
653 |a racism 
653 |a text mining 
653 |a review data mining 
653 |a sentiment word analysis 
653 |a health insurance 
653 |a word association 
653 |a social networks 
653 |a sentiment lexicon 
653 |a sentiment analysis 
653 |a violence based on sexual orientation 
653 |a text feature representation 
653 |a cyber-aggression 
653 |a medical web forum 
653 |a Twitter 
653 |a gender classification 
653 |a lexicon construction 
653 |a opinion mining 
653 |a sentiment classification 
653 |a hybrid vectorization 
653 |a convolutional neural network 
653 |a emotion analysis 
653 |a recommender system 
653 |a sentiment-aware word embedding 
700 1 |a Iglesias, Carlos A. 
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520 |a 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 industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.