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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 3 4 5...18 Hits 1 – 20 of 360 1 Gegen die Öffentlichkeit: Alternative Nachrichtenmedien im deutschsprachigen Raum Schwaiger, Lisa. - : transcript Verlag, 2022. : DEU, 2022. : Bielefeld, 2022 In: 46 ; Digitale Gesellschaft ; 327 (2022) BASE Show details 2 Social Media and Intercultural Learning: An approach to EFL for Secondary Students Márquez Indias, Almudena. - : Universidad de Córdoba, 2022 BASE Show details 3 Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας Μουστάκα, Ελένη. - : Πανεπιστήμιο Μακεδονίας, 2022 BASE Show details 4 Impact of maternal smartphone use on language output Casar, Mercedes. - 2022 BASE Show details 5 Temporal Emotion Dynamics in Social Networks Naskar, Debashis. - : Universitat Politècnica de València, 2022 BASE Show details 6 Comunicazione, dibattito pubblico, social media : come orientarsi con la linguistica Pietrandrea, Paola. - Roma : Carocci editore, 2021 BLLDB UB Frankfurt Linguistik Show details 7 Language modeling for personality prediction Cutler, Andrew. - 2021 BASE Show details 8 Leading the Nation Through Social Media: Jacinda Ardern’s Self-Presentation on Facebook During the COVID-19 Crisis Huang, Lei. - : Auckland University of Technology, 2021 BASE Show details 9 The Rhetoric of Psychopathology: An Interdisciplinary Approach to Understanding and Talking About Mental Health Stigall, Regan. - 2021 BASE Show details 10 Influencer detection in social media ; Détection des influenceurs dans des médias sociaux Deturck, Kévin. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021) BASE Show details 11 Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning Mozafari, Marzieh. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021) BASE Show details 12 Hate Speech on Social Media ; Discours de haine dans les réseaux socionumériques Seoane, Annabelle; Hubé, Nicolas; Leroux, Pierre. - : HAL CCSD, 2021. : E.N.S. Editions, 2021. : ENS Éditions (Lyon), 2021 In: ISSN: 0243-6450 ; EISSN: 1960-6001 ; Mots: les langages du politique ; https://hal.archives-ouvertes.fr/hal-03137170 ; Mots: les langages du politique, 125, E.N.S. Editions, 2021, 9791036203060 (2021) BASE Show details 13 Impact of social media data on postmarket safety evaluation of medicines: a literature review on automatic mining initiatives of adverse drug reactions Mendes, Ana Catarina Simões Martins. - 2021 BASE Show details 14 LINGUOECOLOGY AND STATE SERVICE ... Shoshin, Serguei. - : figshare, 2021 BASE Show details 15 LINGUOECOLOGY AND STATE SERVICE ... Shoshin, Serguei. - : figshare, 2021 BASE Show details 16 Impersonation, Expectation and Humorous Affiliation ... Logi, Lorenzo. - : UNSW Sydney, 2021 BASE Show details 17 Customer Engagement with Food Companies' Tweets: An Investigation of Food Claims and Innovation ... Zhao, Caiyi. - : Université d'Ottawa / University of Ottawa, 2021 BASE Show details 18 Influencer detection in social media ; Détection des influenceurs dans des médias sociaux Deturck, Kévin. - : HAL CCSD, 2021 In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021) BASE Show details 19 Generating health evidence from social media ; Extração de informação de saúde através das redes sociais Salgado, Pedro Manuel Oliva Teles. - 2021 Abstract: Social media has been proven to be an excellent resource for connecting people and creating a parallel community. Turning it into a suitable source for extracting real world events information and information about its users as well. All of this information can be carefully re-arranged for social monitoring purposes and for the good of its community. For extracting health evidence in the social media, we started by analyzing and identifying postpartum depression in social media posts. We participated in an online challenge, eRisk 2020, continuing the previous participation of BioInfo@UAVR, predicting self-harm users based on their publications on Reddit. We built an algorithm based on methods of Natural Language Processing capable of pre-processing text data and vectorizing it. We make use of linguistic features based on the frequency of specific sets of words, and other models widely used that represent whole documents with vectors, such as Tf-Idf and Doc2Vec. The vectors and the correspondent label are then passed to a Machine Learning classifier in order to train it. Based on the patterns it found, the model predicts a classification for unlabeled users. We use multiple classifiers, to find the one that behaves the best with the data. With the goal of getting the most out of the model, an optimization step is performed in which we remove stop words and set the text vectorization algorithms and classifier to be ran in parallel. An analysis of the feature importance is integrated and a validation step is performed. The results are discussed and presented in various plots, and include a comparison between different tuning strategies and the relation between the parameters and the score. We conclude that the choice of parameters is essential for achieving a better score and for finding them, there are other strategies more efficient then the widely used Grid Search. Finally, we compare several approaches for building an incremental classification based on the post timeline of the users. And conclude that it is possible to have a chronological perception of certain traits of Reddit users, specifically evaluating the risk of self-harm with a F1 Score of 0.73. ; As redes sociais são um excelente recurso para conectar pessoas, criando assim uma comunidade paralela em que fluem informações acerca de eventos globais bem como sobre os seus utilizadores. Toda esta informação pode ser trabalhada com o intuito de monitorizar o bem estar da sua comunidade. De forma a encontrar evidência médica nas redes sociais, começámos por analisar e identificar posts de mães em risco de depressão pós-parto no Reddit. Participámos num concurso online, eRisk 2020, com o intuito de continuar a participação da equipa BioInfo@ UAVR, em que prevemos utilizadores que estão em risco de se automutilarem através da análise das suas publicações no Reddit. Construímos um algoritmo com base em métodos de Processamento de Linguagem Natural capaz de pré-processar os dados de texto e vectorizá-los. Fazendo uso de características linguísticas baseadas na frequência de conjuntos de palavras, e outros modelos usados globalmente, capazes de representar documentos com vetores, como o Tf-Idf e o Doc2Vec. Os vetores e a sua respetiva classificação são depois disponibilizados a algoritmos de Aprendizagem Automática, para serem treinados e encontrar padrões entre eles. Utilizamos vários classificadores, de forma a encontrar o que se comporta melhor com os dados. Com base nos padrões que encontrou, os classificadores prevêm a classificação de utilizadores ainda por avaliar. De forma a tirar o máximo proveito do algoritmo, é desempenhada uma otimização em que as stop words são removidas e paralelizamos os algoritmos de vectorização de texto e o classificador. Incorporamos uma análise da importância dos atributos do modelo e a otimização dos híper parâmetros de forma a obter um resultado melhor. Os resultados são discutidos e apresentados em múltiplos plots, e incluem a comparação entre diferentes estratégias de optimização e observamos a relação entre os parâmetros e a sua performance. Concluimos que a escolha dos parâmetros é essencial para conseguir melhores resultados e que para os encontrar, existem estratégias mais eficientes que o habitual Grid Search, como o Random Search e a Bayesian Optimization. Comparamos também várias abordagens para formar uma classificação incremental que tem em conta a cronologia dos posts. Concluimos que é possível ter uma perceção cronológica de traços dos utilizadores do Reddit, nomeadamente avaliar o risco de automutilação, com um F1 Score de 0,73. ; Mestrado em Engenharia de Computadores e Telemática Keyword: Health information; Machine learning; Natural language processing; Social media URL: http://hdl.handle.net/10773/31280 BASE Hide details 20 Protest twittern: Eine medienlinguistische Untersuchung von Straßenprotesten Dang-Anh, Mark. - : transcript Verlag, 2021. : DEU, 2021. : Bielefeld, 2021 In: 22 ; Locating Media / Situierte Medien ; 448 (2021) BASE Show details Page: 1 2 3 4 5...18

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