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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 Hits 1 – 20 of 90 1 Influence des lexiques d'émotions et de sentiments sur l'analyse des sentiments Application à des critiques de livres Soëlie, Lerch; Patrice, Bellot; Emmanuel, Bruno... In: CORIA-EARIA 2019 ; https://hal.archives-ouvertes.fr/hal-02448203 ; CORIA-EARIA 2019, Mar 2019, Villeurbanne, France (2019) BASE Show details 2 FEEL: a French Expanded Emotion Lexicon Abdaoui, Amine; Azé, Jérôme; Bringay, Sandra... 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) BASE Show details 3 Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor Chang, Yung-Chun; Ku, Chih-Hao; Chen, Chun-Hung In: Business Faculty Publications (2019) BASE Show details 4 Sentiment and emotion analysis of complex reviews ; Analyse des sentiments et des émotions de commentaires complexes en langue française Pecore, Stefania. - : HAL CCSD, 2019 In: https://tel.archives-ouvertes.fr/tel-02903247 ; Linguistique. Université de Bretagne Sud, 2019. Français. ⟨NNT : 2019LORIS522⟩ (2019) BASE Show details 5 A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos Abidi, Karima; Fohr, Dominique; Jouvet, Denis... 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) BASE Show details 6 A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS Hawalah, Ahmad 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) BASE Show details 7 El sesgo ideológico en el tratamiento informativo del Brexit en la prensa anglosajona Ramos Ruiz, Álvaro; Ramos Ruiz, Ismael 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) BASE Show details 8 Overwhelmed by Negative Emotions? Maybe You Are Being Cyber-bullied! Arslan, Pinar; Corazza, Michele; Cabrio, Elena... 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) BASE Show details 9 Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ... OZPARLAK, GERCEK. - : Mendeley, 2019 BASE Show details 10 Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ... OZPARLAK, GERCEK. - : Mendeley, 2019 BASE Show details 11 Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ... OZPARLAK, GERCEK. - : Mendeley, 2019 BASE Show details 12 Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ... OZPARLAK, GERCEK. - : Mendeley, 2019 BASE Show details 13 The Secret to Popular Chinese Web Novels: A Corpus-Driven Study 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 Abstract: What is the secret to writing popular novels? The issue is an intriguing one among researchers from various fields. The goal of this study is to identify the linguistic features of several popular web novels as well as how the textual features found within and the overall tone interact with the genre and themes of each novel. Apart from writing style, non-textual information may also reveal details behind the success of web novels. Since web fiction has become a major industry with top writers making millions of dollars and their stories adapted into published books, determining essential elements of "publishable" novels is of importance. The present study further examines how non-textual information, namely, the number of hits, shares, favorites, and comments, may contribute to several features of the most popular published and unpublished web novels. Findings reveal that keywords, function words, and lexical diversity of a novel are highly related to its genres and writing style while dialogue proportion shows the narration voice of the story. In addition, relatively shorter sentences are found in these novels. The data also reveal that the number of favorites and comments serve as significant predictors for the number of shares and hits of unpublished web novels, respectively; however, the number of hits and shares of published web novels is more unpredictable. Keyword: Data processing Computer science; NLP techniques; Popular Chinese Web Novels; Publication of Web novels; Sentiment Analysis URN: urn:nbn:de:0030-drops-103882 URL: https://drops.dagstuhl.de/opus/volltexte/2019/10388/ https://doi.org/10.4230/OASIcs.LDK.2019.24 BASE Hide details 14 Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm ... Samonte, Benjie R.. - : Zenodo, 2019 BASE Show details 15 Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm ... Samonte, Benjie R.. - : Zenodo, 2019 BASE Show details 16 Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources Vulcu, Gabriela; Buitelaar, Paul; Pereira, Bianca. - : European Language Resources Association, 2019 BASE Show details 17 Linguistic linked data for sentiment analysis Arcan, Mihael; Sánchez-Rada, Juan Fernando; Strapparava, Carlo. - : Association for Computational Linguistics, 2019 BASE Show details 18 An exploration of a financial lexicon-based approach to sentiment analysis and its application to financial news and reports Kirchner, Avery N., 1997--. - : Northern Illinois University, 2019 BASE Show details 19 The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs Gaillat, Thomas; Zarrouk, Manel; Freitas, André. - : European Language Resources Association, 2019 BASE Show details 20 Detecting and Monitoring Hate Speech in Twitter Juan Carlos Pereira-Kohatsu; Lara Quijano-Sánchez; Federico Liberatore... In: Sensors ; Volume 19 ; Issue 21 (2019) BASE Show details Page: 1 2 3 4 5

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