02915nam 2200745z- 450 991040409230332120231214133105.03-03928-573-4(CKB)4100000011302215(oapen)https://directory.doabooks.org/handle/20.500.12854/59238(EXLCZ)99410000001130221520202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSentiment Analysis for Social MediaMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (152 p.)3-03928-572-6 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.opinion miningaffect computinghealth insuranceTwitterhybrid vectorizationviolence against womenword associationcollaborative schemes of sentiment analysis and sentiment systemsrandom forestcyber-aggressiondeep learningonline reviewemotion analysislexicon constructionprovider networkstext miningsentiment lexiconsocial mediasentiment-aware word embeddingpsychographic segmentationmedical web forumgender classificationracismsentiment analysissentiment classificationsentiment word analysissocial networksconvolutional neural networkreview data miningmachine learningemotion classificationbig data-driven marketingtext feature representationrecommender systemuser preference predictionviolence based on sexual orientationsemantic networksMoreno Antonioauth419397Iglesias Carlos AauthBOOK9910404092303321Sentiment Analysis for Social Media3020240UNINA