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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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Abstract:
The objective of this chapter is to present a hybrid approach to the Sentiment Analysis problem focused on sentences or snippets. This new method is centred around a sentiment lexicon enhanced with the assistance of SentiWordNet and fuzzy sets to estimate the semantic orientation polarity and intensity for sentences. This provides a foundation for computing with sentiments. The proposed hybrid method is applied to three different datasets and the results achieved are compared to those obtained using Naïve Bayes (NB) and Maximum Entropy (ME) techniques. It is demonstrated through experimentation that this hybrid approach is more accurate and precise than both NB and ME techniques. Furthermore, it is shown that when applied to datasets containing snippets, the proposed method performs similar to state-of-the-art techniques.
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Keyword:
Computing with sentiments; Fuzzy methods; Fuzzy sets; Hybrid method; Machine learning; Sentiment analysis
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URL: https://dora.dmu.ac.uk/handle/2086/20824 https://doi.org/10.1007/978-3-030-66474-9_2
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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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9 |
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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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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