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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 6 Hits 81 – 100 of 103 81 Odi et Amo. Creating, Evaluating and Extending Sentiment Lexicons for Latin Sprugnoli, Rachele (orcid:0000-0001-6861-5595); Passarotti, Marco (orcid:0000-0002-9806-7187); Corbetta, Daniela. - : European Language Resources Association (ELRA), 2020. : country:FRA, 2020. : place:Paris, 2020 BASE Show details 82 MultiEmotions-it: A new dataset for opinion polarity and emotion analysis for Italian Sprugnoli, R. (orcid:0000-0001-6861-5595). - : Accademia University Press, 2020. : country:ITA, 2020. : place:Torino, 2020 BASE Show details 83 Techniques for improving the labelling process of sentiment analysis in the Saudi stock market AL-Rubaiee, Hamed Saad; Qiu, Renxi; Alomar, Khalid. - : Science and Information Organization, 2020 BASE Show details 84 Analysis of the relationship between Saudi twitter posts and the Saudi stock market AL-Rubaiee, Hamed Saad; Qiu, Renxi; Li, Dayou. - : Institute of Electrical and Electronics Engineers Inc., 2020 BASE Show details 85 Identifying Mubasher software products through sentiment analysis of Arabic tweets AL-Rubaiee, Hamed Saad; Qiu, Renxi; Li, Dayou. - : Institute of Electrical and Electronics Engineers Inc., 2020 BASE Show details 86 Visualising Arabic sentiments and association rules in financial text AL-Rubaiee, Hamed Saad; Qiu, Renxi; Li, Dayou. - : SAI, 2020 BASE Show details 87 Using Multi-granular Fuzzy Linguistic Modelling Methods to Represent Social Networks Related Information in an Organized Way Morente Molinera, Juan Antonio; Cabrerizo, F.J.; Alonso, S.; Martínez, M. A.; Herrera Viedma, Enrique. - : Universitatea Agora, 2020 Abstract: Social networks are the preferred mean for experts to share their knowledge and provide information. Therefore, it is one of the best sources that can be used for obtaining data that can be used for a high amount of purposes. For instance, determining social needs, identifying problems, getting opinions about certain topics, . Nevertheless, this kind of information is difficult for a computational system to interpret due to the fact that the text is presented in free form and that the information that represents is imprecise. In this paper, a novel method for extracting information from social networks and represent it in a fuzzy ontology is presented. Sentiment analysis procedures are used in order to extract information from free text. Moreover, multi-granular fuzzy linguistic modelling methods are used for converting the information into the most suitable representation mean. ; This work has been supported by the ’Juan de la Cierva Incorporación’ grant from the Spanish Ministry of Economy and Competitiveness and by the Grant from the FEDER funds provided by the Spanish Ministry of Economy and Competitiveness (No. TIN2016-75850-R). Keyword: Fuzzy ontologies; Multi-granular fuzzy linguistic modelling methods; Sentiment analysis URL: https://doi.org/10.15837/ijccc.2020.2.3851 http://hdl.handle.net/10481/61377 BASE Hide details 88 Arabic-English Google Translation Evaluation and Arabic Sentiment Analysis Aizouky, Zeina. - : University of Alberta. Digital Humanities., 2020 BASE Show details 89 English Studies and Literary Education in the Era of Media Manipulation: Context, Perceptions, Feelings and Challenges Caballero Aceituno, Yolanda; Orrequia-Barea, Aroa. - : Universidad de Alicante. Departamento de Filología Inglesa, 2020 BASE Show details 90 Predicting Students’ College Drop Out and Departure Decisions by Analyzing their Campus-Based Social Network Text Messages Allen, Rebecca; Nakonechnyi, Alex; Seidmann, Abraham. - 2020 BASE Show details 91 A Study on the Contributions of Domain-Specific Semantics Towards Aspect-Based Sentiment Analysis Mokadam, Aashay In: Master's Theses (2020) BASE Show details 92 Sentiment Analysis of Textual Content in Social Networks. From Hand-Crafted to Deep Learning-Based Models Jabreel, Mohammed Hamood Abdullah. - : Universitat Rovira i Virgili, 2020 In: TDX (Tesis Doctorals en Xarxa) (2020) BASE Show details 93 Towards Arabic textual and multi-modal sentiment analysis Alqarafi, Abdulrahman. - : University of Stirling, 2020 BASE Show details 94 This video is sponsored : text and sentiment analysis of YouTube health-related vlog comments and brand endorsement effectiveness Yang, Zihan, M.A.. - 2020 BASE Show details 95 Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets Fu, Chengyao. - : University of Waterloo, 2020 BASE Show details 96 Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis Sippola, Vincent In: Electronic Thesis and Dissertation Repository (2020) BASE Show details 97 Towards Subjective Multimedia Summarization Framework for Sporting Event in the Context of Digital Twins Aloufi, Samah Bader. - : Université d'Ottawa / University of Ottawa, 2020 BASE Show details 98 Domain specific lexicon generation through sentiment analysis Shaukat, Kamran; Hameed, Ibrahim A.; Luo, Suhuai. - : International Association of Online Engineering (IAOE), 2020 BASE Show details 99 Using Keystroke Dynamics in a Multi-Agent System for User Guiding in Online Social Networks Aguado-Sarrió, Guillem; Julian Inglada, Vicente Javier; García-Fornes, A. - : MDPI AG, 2020 BASE Show details 100 A Twitter Political Corpus of the 2019 10N Spanish Election Rosso, Paolo; Ponzetto, Simone Paolo; Sánchez-Junquera, Javier. - : Springer, 2020 BASE Show details Page: 1 2 3 4 5 6

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