Search results for " Sentiment Analysis"

showing 5 items of 5 documents

Body Gestures and Spoken Sentences: A Novel Approach for Revealing User’s Emotions

2017

In the last decade, there has been a growing interest in emotion analysis research, which has been applied in several areas of computer science. Many authors have con- tributed to the development of emotion recognition algorithms, considering textual or non verbal data as input, such as facial expressions, gestures or, in the case of multi-modal emotion recognition, a combination of them. In this paper, we describe a method to detect emotions from gestures using the skeletal data obtained from Kinect-like devices as input, as well as a textual description of their meaning. The experimental results show that the correlation existing between body movements and spoken user sentence(s) can be u…

0209 industrial biotechnologyComputer scienceSpeech recognitionGesture Recognition02 engineering and technologycomputer.software_genreEmotion Recognition Gesture Recognition Sentiment AnalysisNonverbal communication020901 industrial engineering & automationSentiment Analysis0202 electrical engineering electronic engineering information engineeringEmotion recognitionSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFacial expressionSettore INF/01 - Informaticabusiness.industry020207 software engineeringGesture recognitionEmotion RecognitionArtificial intelligencebusinesscomputerSentenceNatural language processingMeaning (linguistics)Gesture2017 IEEE 11th International Conference on Semantic Computing (ICSC)
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Political candidates in infotainment programmes and their emotional effects on Twitter: an analysis of the 2015 Spanish general elections pre-campaig…

2017

[EN] The infotainment format offers candidates an informal setting to show a more personal side of themselves to the electorate, opening themselves up to potential voters. An example of media hybridisation, social networks users can immediately comment on infotainment television programmes, a process known as second screening. These second screeners tend to be especially active in politics. This paper analyses the immediate emotional reaction of these users as they watch infotainment programmes that air during the campaign or pre-campaign seasons and feature political candidates as guests. We have confirmed that second screeners react more emotionally towards the candidate when his or her p…

History05 social sciencesSecond screening050401 social sciences methodsGeneral Social SciencesPolitical infotainmentAdvertisingCOMERCIALIZACION E INVESTIGACION DE MERCADOSPersonalisation of politics0506 political sciencePolitics0504 sociology2015 Spanish general electionEmotional reactionPolitical CandidatesGeneral election050602 political science & public administrationRelevance (law)Twitter sentiment analysisPsychologyEmotional public sphereSocial psychologyContemporary Social Science
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Towards a fuzzy-linguistic based social network sentiment-expression system

2015

Liking allows users of Social Networks, blogs and online magazines to express their support of posts and artifacts by a simple click. Such function is very popular but lacks semantic power, and some platforms have augmented it by allowing to choose a pictographic depiction corresponding to a feeling. What is gained in depth is lost in simplicity, and the wide acceptance liking has enjoyed did not carried to the sentiment version. We outline a sentiment-expression hybrid system based on textual analysis and linguistic fuzzy Markov chains overcoming the intrinsic limitations of liking without burdening the user with complex choices.

Social networkSettore INF/01 - Informaticabusiness.industryComputer scienceSentiment analysisSettore M-FIL/02 - Logica E Filosofia Della Scienzacomputer.software_genresocial networks sentiment analysis linguis- tic fuzzy Markov chainsExpression (architecture)Fuzzy linguisticArtificial intelligencebusinesscomputerNatural language processing
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Parole, parole, parole. Un’analisi testuale delle canzoni più vendute in Italia (1960-2019)

2023

Questo articolo esplora il contenuto delle cento canzoni italiane più vendute, nel periodo che va dal 1960 al 2019, utilizzando un approccio computazionale inedito che combina analisi testuale e analisi musicale automatica. I brani italiani da classifica hanno intercettato alcuni dei principali trend storici, culturali e sociali degli ultimi sessant’anni. Dalla ricerca emergono sei temi ricorrenti (perdono, fuga, amore passione, fatica, fantasia e vitalità) e due dimensioni di senso latenti (patire vs. agire e divertirsi vs. riflettere), che caratterizzano i testi analizzati. Dal punto di vista metodologico, emerge l’importanza discriminate del sound per comprendere sia il clima emotivo dei…

analisi del contenuto Hit-parade Popular Music sentiment analysis SpotifySettore SPS/07 - Sociologia GeneraleContent Analysis Music Charts Popular Music Sentiment Analysis Spotify
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La politica su Twitter: analisi di rete e sentiment analysis d'un caso studio

2021

Le interazioni sociali e le opinioni riguardanti la politica, espresse su Twitter da leader, candidati, normali cittadini o influencer, occupano una grossa parte del dibattito politico contemporaneo. Esse possono essere studiate facendo ricorso a tecniche computazionali, che comportano l’estrazione e l’analisi d’una enorme quantità di dati. In questo contributo, mostro le potenzialità di due di queste tecniche: la social network analysis e la sentiment analysis, indagando – come caso studio – il tema della scuola, oggetto di dibattito politico e trending topic su Twitter, nel settembre del 2020. A tale scopo, metto a confronto due reti di discussione diverse, una tematica e l’altra personal…

politica twitter network analysis sentiment analysis scienze sociali computazionali
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