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The Ontology of Modernist Character: Deconstructing the Human in the British Novel, 1899-1934 ...
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An Ontology based Smart Management of Linguistic Knowledge
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
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The rigor-relevance gap in Project Management research: It's time to stop the lament and think and act reflexively
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In: https://hal.archives-ouvertes.fr/hal-03563085 ; 2022 (2022)
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Erosion de la nature, stratification de l'humain. Tournant ontologique et écologie sémiotique
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In: Degrés : revue de synthèse à orientation sémiologique ; https://hal.archives-ouvertes.fr/hal-03643862 ; Degrés : revue de synthèse à orientation sémiologique, Helbo, 2022, Ecosémiotique, pp.1-33 (2022)
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FAIRsharing record for: Computer applications in terminology -- Terminological markup framework ... : ISO 16642:2017 ...
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FAIRsharing record for: Systems to manage terminology, knowledge and content -- Design, implementation and maintenance of terminology management systems ... : ISO 26162:2012 ...
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FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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FAIRsharing record for: Darwin Information Typing Architecture ... : DITA ...
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Restoring Reason: Theology of Logic in Origen of Alexandria ...
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Haecker, Ryan. - : Apollo - University of Cambridge Repository, 2022
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THEORITICAL BASIS OF LINGUISTIC FEATURES OF REPETITION IN TRANSLATION ...
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Multilingual Topic Labelling of News Topics using Ontological Mapping ...
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Multilingual Topic Labelling of News Topics using Ontological Mapping ...
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A New Ontology-Based Method for Arabic Sentiment Analysis
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In: Big Data and Cognitive Computing; Volume 6; Issue 2; Pages: 48 (2022)
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Abstract:
Arabic sentiment analysis is a process that aims to extract the subjective opinions of different users about different subjects since these opinions and sentiments are used to recognize their perspectives and judgments in a particular domain. Few research studies addressed semantic-oriented approaches for Arabic sentiment analysis based on domain ontologies and features’ importance. In this paper, we built a semantic orientation approach for calculating overall polarity from the Arabic subjective texts based on built domain ontology and the available sentiment lexicon. We used the ontology concepts to extract and weight the semantic domain features by considering their levels in the ontology tree and their frequencies in the dataset to compute the overall polarity of a given textual review based on the importance of each domain feature. For evaluation, an Arabic dataset from the hotels’ domain was selected to build the domain ontology and to test the proposed approach. The overall accuracy and f-measure reach 79.20% and 78.75%, respectively. Results showed that the approach outperformed the other semantic orientation approaches, and it is an appealing approach to be used for Arabic sentiment analysis.
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Keyword:
arabic language; domain features; domain ontology; feature level sentiment analysis; features selection and weighting; semantic orientation; sentiment analysis
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URL: https://doi.org/10.3390/bdcc6020048
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Social Perception of Artificial Intelligence and Digitization of Cultural Heritage: Russian Context
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In: Applied Sciences; Volume 12; Issue 5; Pages: 2712 (2022)
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La pulsión contrasexual: microficciones de la desintegración. A propósito de Paul-B. Preciado ...
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La pulsión contrasexual: microficciones de la desintegración. A propósito de Paul-B. Preciado ...
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