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Correlação entre traços de personalidade e emoções de realização com engajamento e desempenho em MOOCS
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A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect
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A Fuzzy Approach to Sentiment Analysis at the Sentence Level
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Sentiment Analysis of Amazon Electronic Product Reviews using Deep Learning
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Political analytics on election candidates and their parties in context of the US Presidential elections 2020
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Candidates rather than context shape campaign sentiment in French Presidential Elections (1965–2017)
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In: French Politics ; 19 (2021), 4. - S. 394-420. - Springer. - ISSN 1476-3419. - eISSN 1476-3427 (2021)
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On the Logistical Difficulties and Findings of Jopara Sentiment Analysis
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Improving the Fitness Function of an Evolutionary Suspense Generator Through Sentiment Analysis
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In: IEEE Access, vol. 9, pp. 39626-39635, 2021 (2021)
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Hacia el análisis de sentimientos en euskera ; Towards sentiment analysis in Basque
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The impact of Arabic part of speech tagging on sentiment analysis: A new corpus and deep learning approach
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In: Test Series for Scopus Harvesting 2021 (2021)
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Cross-Domain Polarity Models to Evaluate User eXperience in E-learning
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Using Twitter Streams for Opinion Mining: a case study on Airport Noise
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In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.archives-ouvertes.fr/hal-03018998 ; Communications in Computer and Information Science, Springer Verlag, 2020, ⟨10.1007/978-3-030-44900-1_10⟩ (2020)
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Abstract:
International audience ; This paper proposes a classification model for opinion mining around airport noise based on techniques such as event detection and sentiment analysis applied on Twitter posts. Tweets are retrieved using the Twitter API either because of location or content.A dataset of preprocessed, with NLP techniques, tweets is manually annotated and then used to train an SVM (Support Vector Machine) classifier in order to extract the relevant ones from the obtained collections. The extracted tweets from the SVM classifier are fed to a lexicon-based classifier to filter out the false relevant and to increase precision. A lexicon-based sentiment classifier is then applied in order to separate positive, negative and neutral tweets. The sentiment classifier uses emoticons, polarity of words with subjective intensity, intensifiers, negation effect with dynamic scope, contrast effect and SWN to detect the sentiment of tweets in a hierarchical manner. The information present in the classified tweets is used for a statistical survey-like study.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Machine Learning; Natural Language Processing; Opinion mining; Sentiment analysis; Text mining; Twitter
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URL: https://hal.archives-ouvertes.fr/hal-03018998/file/Meddeb_et_all-AirportNoise.pdf https://hal.archives-ouvertes.fr/hal-03018998 https://hal.archives-ouvertes.fr/hal-03018998/document https://doi.org/10.1007/978-3-030-44900-1_10
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Affective behavior modeling on social networks ; Modélisation des sentiments sur les réseaux sociaux
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In: https://tel.archives-ouvertes.fr/tel-03339755 ; Social and Information Networks [cs.SI]. Université Montpellier, 2020. English. ⟨NNT : 2020MONTS073⟩ (2020)
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Clickbait detection using multimodel fusion and transfer learning ; Détection de clickbait utilisant fusion multimodale et apprentissage par transfert
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In: https://tel.archives-ouvertes.fr/tel-03139880 ; Social and Information Networks [cs.SI]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAS025⟩ (2020)
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Neural approach for Arabic sentiment analysis ; Une approche neuronale pour l’analyse d’opinions en arabe
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In: https://tel.archives-ouvertes.fr/tel-03084468 ; Informatique et langage [cs.CL]. Université du Maine; Université de Sfax (Tunisie), 2020. Français. ⟨NNT : 2020LEMA1022⟩ (2020)
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Hotel Review Sentiment Analysis using Natural Language Processing ...
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