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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 24 1 Stock Market Tweets Data ... Taborda, Bruno; de Almeida, Ana; Carlos Dias, José. - : IEEE DataPort, 2021 BASE Show details 2 Detecting psychological sentiments in users from social networks Santos, Patrícia de Sousa dos. - 2020 Abstract: Over the years there has been an increase in the population suffering from depression. Many users find refuge in social networks as an alternative to health professionals, because they feel safer and comfortable to open up with others without forcing them to express their opinion. Despite the negative impact of social networks on users, many studies show that based on the posts made, it is possible to make a distinction between depressed and non-depressed users and a behavioural and linguistic analysis. In this way, the literature reports that prediction models of depressive users have been created and improved. In this dissertation, we aim to test and develop a model that helps in the detection of depressive users in social networks based on the words and emotions of the posts, using two lexicons, NRC Emotion Lexicon and VAD Lexicon. Through the NRC Emotion Lexicon we wanted to evaluate if the implementation of new features in a study presented in the related work, allows an improvement in the performance of the model developed. With VAD Lexicon, the objective is to analyze if through VAD values it is possible to extract the emotions. We concluded that the VAD Lexicon was not advantageous since, it was not possible to correlate the VAD values with the emotions. With NRC Emotion Lexicon, we concluded that although the integration of the lexicon did not result in a better performance, it was possible to observe improvements, demonstrating that the lexicon contributed positively to the effectiveness of the model. ; Ao longo dos anos tem havido um aumento da população que sofre de depressão. Muitos utilizadores encontram um refúgio nas redes sociais em alternativa a profissionais de saúde, por se sentirem mais seguros e confortáveis a desabafar com outros utilizadores sem que isso os obrigue a expressar uma opinião. Apesar do impacto negativo que as redes sociais podem ter nos utilizadores, muitos estudos mostram que com base nos posts feitos, é possível fazer uma distinção entre utilizadores depressivos e não depressivos e uma análise comportamental e linguística. Desta maneira, a literatura reporta que foram criados e aperfeiçoados modelos de predição de utilizadores depressivos. Nesta dissertação, temos como objetivo testar e desenvolver um modelo que ajude na deteção de utilizadores depressivos em redes sociais com base nas palavras e emoções do posts, utilizando dois léxicos, NRC Emotion Lexicon e VAD Lexicon. Através do NRC Emotion Lexicon quisemos avaliar se a implementação de novas features num estudo apresentado no trabalho relacionado, permite uma melhoria no desempenho do modelo desenvolvido. Já com o VAD Lexicon, o objetivo é analisar se através dos valores obtidos de VAD é possível extrair as emoções presentes. Concluímos que o uso do VAD Lexicon não foi vantajoso visto que, não foi possível correlacionar os valores do VAD com os sentimentos. Para o NRC Emotion Lexicon, concluímos que, apesar da integração do léxico no modelo não ter resultado numa melhor performance do modelo, foi possível observar melhorias, demonstrando que o léxico contribuiu positivamente para a eficácia do modelo. Keyword: Análise de sentimentos; Depressão; Depression; Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias; Mental health; Reddit; Rede social; Saúde mental; Sentiment analysis; Social networks; Twitter URL: http://hdl.handle.net/10071/21823 BASE Hide details 3 One book, two language varieties Barreiro, A.; Rebelo-Arnold, Ida; Batista, Fernando. - : Springer International Publishing, 2020 BASE Show details 4 Deteção de palavras emergentes em tweets portugueses e análise do seu percurso na redes sociais Pinto, Afonso do Carmo Marques Mendes. - 2020 BASE Show details 5 Different Lexicon-Based Approaches to Emotion Identification in Portuguese Tweets (Short Paper) ... Filipe, Soraia; Batista, Fernando; Ribeiro, Ricardo. - : Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020 BASE Show details 6 Cross-domain analysis of discourse markers in European Portuguese Cabarrão, Vera; Moniz, Helena; Batista , Fernando... In: Dialogue & Discourse; Vol 9 No 1 (2018); 79-106 ; 2152-9620 (2018) BASE Show details 7 Combining Multiple Approaches to Predict the Degree of Nativeness Ribeiro, Eugénio; Ferreira, Jaime; Olcoz, Julia. - : Technische Universität Berlin, 2018 BASE Show details 8 Automatic Recognition of Prosodic Patterns in Semantic Verbal Fluency Tests - an Animal Naming Task for Edutainment Applications Abad, Alberto; Amorim, Cristiana; Trancoso, Isabel. - : International Phonetic Association, 2018 BASE Show details 9 OpenLogos Semantico-Syntactic Knowledge-Rich Bilingual Dictionaries Barreiro, Anabela; Batista, Fernando; Ribeiro, Ricardo. - : European Language Resources Association (ELRA), 2018 BASE Show details 10 Teenage and Adult Speech in School Context: Building and Processing a Corpus of European Portuguese Mata, Ana Isabel; Hirschberg, Julia; Batista, Fernando. - : European Language Resources Association (ELRA), 2018 BASE Show details 11 Prosodic, Syntactic, Semantic Guidelines for Topic Structures Across Domains and Corpora Mata, Ana Isabel; Moniz, Helena; Móia, Telmo. - : European Language Resources Association (ELRA), 2018 BASE Show details 12 Prosodic Classification of Discourse Markers Cabarrão, Vera; Moniz, Helena; Ferreira, Jaime. - : International Phonetic Association, 2018 BASE Show details 13 Disfluency Detection Across Domains Moniz, Helena; Ferreira, Jaime; Batista, Fernando. - : International Phonetic Association, 2018 BASE Show details 14 Revising the Annotation of a Broadcast News Corpus: a Linguistic Approach Cabarrão, Vera; Moniz, Helena; Batista, Fernando. - : European Language Resources Association (ELRA), 2018 BASE Show details 15 Intonational Grammar in Ibero-Romance: Approaches across linguistic subfields Moniz, Helena; Batista, Fernando; Mata, Ana Isabel. - : John Benjamins, 2018 BASE Show details 16 Análise de sentimento em microblogues com base em cascatas de classificacao Rebelo, Fernando Manuel Dias. - 2016 BASE Show details 17 Speaking style effects in the production of disfluencies Moniz, Helena; Batista, Fernando; Mata, Ana Isabel... In: Speech communication. - Amsterdam [u.a.] : Elsevier 65 (2014), 20-35 OLC Linguistik Show details 18 Speaking style effects in the production of disfluencies Moniz, Helena; Batista, Fernando; Mata, Ana Isabel... In: Speech Communication 65 (2014), 20-35 IDS Bibliografie zur Gesprächsforschung Show details 19 Automatic detection of disfluencies in a corpus of university lectures Medeiros, Henrique Rodrigues Barbosa de. - 2014 BASE Show details 20 Prosodic, syntactic, semantic guidelines for topic structures across domains and corpora Mata, Ana Isabel; Moniz, Helena; Móia, Telmo. - : European Language Resources Association, 2014 BASE Show details Page: 1 2

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