Sentiment Analysis for Social Media

• Auteur principal: Moreno, Antonio (auth)
• Autres auteurs: Iglesias, Carlos A. (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Sujets: History of engineering & technology; 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
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

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...