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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 Hits 1 – 7 of 7 1 A sentiment analysis approach to increase authorship identification Martins, Ricardo; Almeida, J. J.; Henriques, Pedro Rangel. - : Wiley, 2021 BASE Show details 2 Predicting Performance Problems Through Emotional Analysis (Short Paper) Martins, Ricardo; Henriques, Pedro Rangel; Novais, Paulo. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2018. : OASIcs - OpenAccess Series in Informatics. 7th Symposium on Languages, Applications and Technologies (SLATE 2018), 2018 BASE Show details 3 Predicting Performance Problems Through Emotional Analysis (Short Paper) ... Martins, Ricardo; Almeida, José João; Henriques, Pedro Rangel. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2018 BASE Show details 4 Predicting performance problems through emotional analysis Martins, Ricardo; Almeida, José João; Henriques, Pedro Rangel. - : Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH, 2018 BASE Show details 5 Increasing authorship identification through emotional analysis Martins, Ricardo; Almeida, J. J.; Henriques, Pedro Rangel; Novais, Paulo. - : Springer Verlag, 2018 Abstract: Writing style is considered the manner how an author expresses his thoughts, influenced by language characteristics of an individual, period, school, or nation. Most of the times, this writing style can identify the author. Yet, one of the most famous examples comes from 1914 in Portuguese literature, with Fernando Pessoa and his heteronyms Alberto Caeiro, Álvaro de Campos and Ricardo Reis, who had completely different writing styles and led people to believe that they were different individuals. So, the discussion about authorship identification already exists along a century. Currently, there are several alternatives to identify authors of text, however, these solutions do not consider the emotion contained in the text as source of information in the writing style. This paper is about a process to analyse the emotion contained in social media messages as Facebook (http://www.facebook.com) in order to identify the author’s emotional profile and use it to improve the ability to predict the authors of the messages. Using preprocessing techniques, lexicon-based approaches and machine learning, we achieved an authorship identification improvement around 5% in the whole dataset and more than 50% in specific authors, when considering the emotional profile on the writing style. ; This work has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT – Fundação para a Ciencia e Tecnologia within the Project Scope UID/CEC/00319/2013. Keyword: Ciências Naturais::Ciências da Computação e da Informação; Eletrónica e Informática; Engenharia e Tecnologia::Engenharia Eletrotécnica; Machine learning; Natural processing language; Sentiment analysis URL: https://doi.org/10.1007/978-3-319-77703-0_76 http://hdl.handle.net/1822/68775 BASE Hide details 6 Hate speech classification in social media using emotional analysis Martins, Ricardo; Gomes, Marco Filipe Vieira; Almeida, J. J.. - : IEEE, 2018 BASE Show details 7 Creating a social media-based personal emotional lexicon Martins, Ricardo; Almeida, J. J.; Novais, Paulo. - : Association for Computing Machinery, 2018 BASE Show details

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