01291nas 2200445-a 450 991014583230332120240413012638.0(CKB)991042754111906(CONSER)sn-99008235-(EXLCZ)9999104275411190619990126a19999999 --- aengtxtrdacontentcrdamediacrrdacarrier580 splitOakland, CA Mills Collegec1999-1 online resource"A journal of the arts and literature."Print version: 580 split. 1523-4762 (DLC)sn 99008235 (OCoLC)40679067 Five eighty splitFive-hundred eighty splitSplit580 splitLiterature, Modern21st centuryPeriodicalsArtsPeriodicalsArtsfast(OCoLC)fst00817721Literature, Modernfast(OCoLC)fst01000172Periodicals.fastLiterature, ModernArtsArts.Literature, Modern.700Mills College.JOURNAL9910145832303321exl_impl conversion580 split2581252UNINA03048nam 2200781z- 450 9910404092303321202102123-03928-573-4(CKB)4100000011302215(oapen)https://directory.doabooks.org/handle/20.500.12854/59238(oapen)doab59238(EXLCZ)99410000001130221520202102d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSentiment Analysis for Social MediaMDPI - Multidisciplinary Digital Publishing Institute20201 online 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.History of engineering and technologybicsscaffect computingbig data-driven marketingcollaborative schemes of sentiment analysis and sentiment systemsconvolutional neural networkcyber-aggressiondeep learningemotion analysisemotion classificationgender classificationhealth insurancehybrid vectorizationlexicon constructionmachine learningmedical web forumonline reviewopinion miningprovider networkspsychographic segmentationracismrandom forestrecommender systemreview data miningsemantic networkssentiment analysissentiment classificationsentiment lexiconsentiment word analysissentiment-aware word embeddingsocial mediasocial networkstext feature representationtext miningTwitteruser preference predictionviolence against womenviolence based on sexual orientationword associationHistory of engineering and technologyMoreno Antonioauth419397Iglesias Carlos AauthBOOK9910404092303321Sentiment Analysis for Social Media3020240UNINA