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Insults – between dysphemisms and markers of emotional closeness
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Lexicon‐pointed hybrid N‐gram Features Extraction Model (LeNFEM) for sentence level sentiment analysis
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The role of context and relevance in translating European Union texts ; Роль контексту та релевантності в процесі перекладу текстів Європейського Союзу
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In: MESSENGER of Kyiv National Linguistic University. Series Philology; Vol. 24 No. 1 (2021); 83-95 ; ВІСНИК Київського національного лінгвістичного університету. Серія Філологія; Том 24 № 1 (2021); 83-95 ; 2415-7333 ; 2311-0821 ; 10.32589/2311-0821.1. (2021)
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"We need to discuss surgery": A multimodal conversation analytic study of intersubjectivity during surgeons' information provision to patients
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Proposal of interdisciplinary definition of proper name
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In: Revista Onomástica desde América Latina (Journal Onomastics from Latin America); v. 2, n. 4 (2021); 200-222 ; Onomástica desde América Latina; v. 2, n. 4 (2021); 200-222 ; Onomástica desde América Latina (Onomastique depuis l'Amérique Latine); v. 2, n. 4 (2021); 200-222 ; 26752719 (2021)
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Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers
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Abstract:
This paper addresses the nontrivial task of Twitter financial disam- biguation (TFD), which is relevant to filter financial domain tweets (e.g., alloy steel or coffee prices) when no unique identifiers (e.g., cashtags) are adopted. To automate TFD, we propose a transfer learning approach that uses freely labeled news titles to train diverse one-class and two-class classification methods. These include different text handling transforms, adaptations of statistical measures and modern machine learning methods, including support vector machines (SVM), deep autoencoders and multilayer perceptrons. As a case study, we analyzed the domain of alloy steel prices, collecting a recent Twitter dataset. Overall, the best results were achieved by a two-class SVM fed with TFD statistical measures and topic model features, obtaining an 80% and 71% discrimination level when tested with 11,081 and 3,000 manually labeled tweets. The best one-class performance (78% and 69% for the same test tweets) was obtained by a term frequency-inverse document frequency classifier (TF-IDFC). These models were further used to gen- erate a Financial User Relevance rank (FUR) score, aiming to filter relevant users. The SVM and TF-IDFC FUR models obtained a predictive user discrimination level of 80% and 75% when tested with a manually labeled test sample of 418 users. These results confirm the proposed joint TFD-FUR approach as a valuable tool for the selection of Twitter texts and users for financial social media analytics (e.g., sentiment analysis, detection of influential users). ; Research carried out with the support of resources of Big and Open Data Innovation Laboratory (BODaI-Lab), University of Brescia, granted by Fondazione Cariplo and Regione Lombardia.
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Keyword:
Ciências Naturais::Ciências da Computação e da Informação; Indústria; inovação e infraestruturas; Machine learning; Science & Technology; Social Media analytics; Text classification; User relevance
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URL: http://hdl.handle.net/1822/73557 https://doi.org/10.1007/s00521-020-04991-8
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The adjective “unique”: More than a buzzword in the language of advertising
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In: Ibérica, Vol 40, Iss 1, Pp 149-170 (2021) (2021)
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A Translation Analysis of Nursery Rhymes in the English Version of The Straw House Based on Relevance Theory: a Cognitive Approach
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In: Studies in Literature and Language; Vol 22, No 3 (2021): Studies in Literature and Language; 23-33 ; 1923-1563 ; 1923-1555 (2021)
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An analysis of news headlines under the light of Relevance Theory, newsworthiness and sensationalism ; Uma análise de manchetes à luz da Teoria da Relevância, noticiabilidade e sensacionalismo
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In: Entrepalavras; v. 11, n. 2 (11) (2021)
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Instagram: critical analysis of news coverage posts through the Relevance Theory ; Instagram: análise crítica das postagens jornalísticas através da Teoria da Relevância
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In: Entrepalavras; v. 11, n. 2 (11) (2021)
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Do indirect requests communicate politeness? An experimental study of conventionalized indirect requests in French email communication
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In: ISSN: 1612-5681 ; EISSN: 1613-4877 ; Journal of Politeness Research ; https://hal.archives-ouvertes.fr/hal-03123952 ; Journal of Politeness Research, De Gruyter, 2020, 16 (1), pp.111-142. ⟨10.1515/pr-2017-0026⟩ (2020)
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The past tense in Assamese
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In: Himalayan Linguistics, vol 0, iss 1 (2020)
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LatinX Diversity Officers in Higher Education: Capacitating Cultural Values as Champions of Equity, Diversity, and Inclusion
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In: All Antioch University Dissertations & Theses (2020)
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The shared communicative act of theatrical texts in performance: a relevance theoretic approach [Online resource]
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In: International journal of literary linguistics : IJLL 9 (2020) 3, 1-23
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Linguistik-Repository
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Экспериментально-фонетические исследования эвенкийского языка ... : Experimental - Phonetic Studies of the Evenk Language ...
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Web Search Behavior and Results Selection by Non-Native English Searchers ...
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What type of subjectivity lies behind French causal connectives? A corpus-based comparative investigation of car and parce que
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In: Glossa: a journal of general linguistics; Vol 5, No 1 (2020); 50 ; 2397-1835 (2020)
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The Relevance between Theses Literature Reviews and Research Questions Written by Students of STKIP PGRI Sumatera Barat Graduated in 2019
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In: JURNAL ARBITRER; Vol 7, No 2 (2020); 162-172 ; 2550-1011 ; 2339-1162 (2020)
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Language-mediated social transmission in children and adults ...
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Moule locutionnel lexicographique et traitement des phraséologismes ...
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