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Harnessing Ratings and Aspect-Sentiment to Estimate Contradiction Intensity in Temporal-Related Reviews
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In: Procedia Computer Science ; Conference on Knowledge-Based and Intelligent Information and Engineering Systems ; https://hal.archives-ouvertes.fr/hal-02066794 ; Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Sep 2017, Marseille, France. pp.1711-1720, ⟨10.1016/j.procs.2017.08.197⟩ (2017)
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Data properties and the performance of sentiment classification for electronic commerce applications
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Framework for Sentiment Classification for Morphologically Rich Languages: A Case Study for Sinhala
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FEEL: a French Expanded Emotion Lexicon
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01348016 ; Language Resources and Evaluation, Springer Verlag, 2017, 51 (3), pp.833-855. ⟨10.1007/s10579-016-9364-5⟩ (2017)
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Système d’ensemble pour la classification de tweets, DEFT 2017
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In: Atelier Défi Fouille de Textes : Analyse d'opinion et langage figuratif dans des tweets en français@ TALN/RECITAL 2017 (DEFT 2017) ; https://hal.archives-ouvertes.fr/hal-03120281 ; Atelier Défi Fouille de Textes : Analyse d'opinion et langage figuratif dans des tweets en français@ TALN/RECITAL 2017 (DEFT 2017), Jun 2017, Orléans, France. pp.27-31 ; http://talnarchives.atala.org/ateliers/2017/DEFT/2.pdf (2017)
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Analysis of social health media to assess the quality of life of breast cancer patients ; Analyse des médias sociaux de santé pour évaluer la qualité de vie des patientes atteintes d’un cancer du sein
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In: https://tel.archives-ouvertes.fr/tel-01919773 ; Autres [stat.ML]. Université Montpellier, 2017. Français. ⟨NNT : 2017MONTS039⟩ (2017)
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Finding and Quantifying Temporal-Aware Contradiction in Reviews
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In: Lecture Notes in Computer Science ; 13th Asia Information Retrieval Societies Conference (AIRS 2017) ; https://hal.archives-ouvertes.fr/hal-01904434 ; 13th Asia Information Retrieval Societies Conference (AIRS 2017), Nov 2017, Jeju Island, South Korea. pp.167-180, ⟨10.1007/978-3-319-70145-5_13⟩ (2017)
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Deep Learning Model for Sentiment Analysis in Multi-lingual Corpus.
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In: International Conference on Neural Information ProcessingICONIP 2017: Neural Information Processing ; Neural Information Processing. ICONIP 2017 ; https://hal.archives-ouvertes.fr/hal-01744518 ; Neural Information Processing. ICONIP 2017, Nov 2017, Guangzhou, China. pp.205-212 (2017)
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Towards the Exploitation of Statistical Language Models for Sentiment Analysis of Twitter Posts
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In: Lecture Notes in Computer Science ; 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM) ; https://hal.inria.fr/hal-01656232 ; 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. pp.253-263, ⟨10.1007/978-3-319-59105-6_22⟩ (2017)
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A comparative study of target-based and entity-based opinion extraction
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In: Proceedings of CICLing 2017 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) ; https://hal.archives-ouvertes.fr/hal-01537896 ; 18th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), Apr 2017, Budapest, Hungary (2017)
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TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision ...
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Potential and limitations of cross-domain sentiment classification ...
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A Twitter corpus and benchmark resources for german sentiment analysis ...
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An Emotional Word Analyzer for Portuguese
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: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2017. : OASIcs - OpenAccess Series in Informatics. 6th Symposium on Languages, Applications and Technologies (SLATE 2017), 2017
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A Review of Sentiment Analysis Research in Chinese Language
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A systematic literature review on opinion types and sentiment analysis techniques: Tasks and challenges
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In: Research outputs 2014 to 2021 (2017)
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