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Influence des lexiques d'émotions et de sentiments sur l'analyse des sentiments Application à des critiques de livres
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In: CORIA-EARIA 2019 ; https://hal.archives-ouvertes.fr/hal-02448203 ; CORIA-EARIA 2019, Mar 2019, Villeurbanne, France (2019)
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FEEL: a French Expanded Emotion Lexicon
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In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090 ; 2019, ⟨swh:1:dir:35a446bb6f0808aa0db6f5bcd032f43e9ec71591;origin=https://hal.archives-ouvertes.fr/lirmm-02136090;visit=swh:1:snp:9d258bfd8a07f79cb8063b6ac33d6e710bd3e3f3;anchor=swh:1:rev:2266d773cf993b8718a1d7ca1d1bce145118f527;path=/⟩ (2019)
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Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor
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In: Business Faculty Publications (2019)
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Sentiment and emotion analysis of complex reviews ; Analyse des sentiments et des émotions de commentaires complexes en langue française
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In: https://tel.archives-ouvertes.fr/tel-02903247 ; Linguistique. Université de Bretagne Sud, 2019. Français. ⟨NNT : 2019LORIS522⟩ (2019)
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A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos
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In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314244 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.49-61, ⟨10.1007/978-3-030-32959-4_4⟩ (2019)
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A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
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In: ISSN: 1992-8645 ; EISSN: 1817-3195 ; Journal of Theoretical and Applied Information Technology ; https://hal.archives-ouvertes.fr/hal-02300717 ; Journal of Theoretical and Applied Information Technology, JATIT, 2019 (2019)
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El sesgo ideológico en el tratamiento informativo del Brexit en la prensa anglosajona
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In: LA NUEVA COMUNICACIÓN DEL SIGLO XXI ; https://hal.archives-ouvertes.fr/hal-03126322 ; P. López Villafranca, J. I. Niño González, & L. F. Solano Santos. LA NUEVA COMUNICACIÓN DEL SIGLO XXI, EDICIONES PIRÁMIDE (Grupo Anaya), 2019, 978-84-368-4254-8 (2019)
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Overwhelmed by Negative Emotions? Maybe You Are Being Cyber-bullied!
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In: Symposium On Applied Computing ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing ; https://hal.archives-ouvertes.fr/hal-02020829 ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing, Apr 2019, Limassol, Cyprus. ⟨10.1145/3297280.3297573⟩ (2019)
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Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
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Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
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Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
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Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
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The Secret to Popular Chinese Web Novels: A Corpus-Driven Study
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Lin, Yi-Ju; Hsieh, Shu-Kai. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm ...
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Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm ...
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Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources
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Abstract:
We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the context of these entities. We explain the steps of the methodology and we give a working example of our initial results. The resulting lexicons are modelled as Linked Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in the Linguistic Linked Open Data cloud. Keywords: domain specific lexicon, entity extraction and linking, sentiment analysis ; This work has been funded by the European project EUROSENTIMENT under grant no. 296277. ; non-peer-reviewed
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Keyword:
Domain specific lexicon; Entity extraction; Linking; sentiment analysis
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URL: http://hdl.handle.net/10379/14909
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An exploration of a financial lexicon-based approach to sentiment analysis and its application to financial news and reports
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The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs
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Detecting and Monitoring Hate Speech in Twitter
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In: Sensors ; Volume 19 ; Issue 21 (2019)
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