En effet, très peu de caractéristiques sont liés à la détection d'ironie et au sarcasme, lesquelles sont l ,
Feel : a french expanded emotion lexicon, Language Resources and Evaluation, pp.1-23, 2016. ,
Analyse d'opinion et langage figuratif dans des tweets : présentation et résultats du défi fouille de textes deft2017, 2017. ,
Propagation de polarités dans des familles de mots : impact de la morphologie dans la construction d'un lexique pour l'analyse d'opinions, Actes de Traitement Automatique des Langues Naturelles, pp.495-502, 2012. ,
The Role of Text Pre-processing in Sentiment Analysis, Procedia Computer Science, vol.17, pp.26-32, 2013. ,
Semeval-2016 task 7 : Determining sentiment intensity of english and arabic phrases, Proceedings of the International Workshop on Semantic Evaluation (SemEval), 2016. ,
Games with a Purpose (GWAPS), 2015. ,
URL : https://hal.archives-ouvertes.fr/lirmm-01382269
Using hashtags to capture fine emotion categories from tweets, Computational Intelligence, vol.31, issue.2, pp.301-326, 2015. ,
NRC-Canada : Building the state-of-theart in sentiment analysis of tweets, Proceedings of the 7th International Workshop on Semantic Evaluation, pp.321-327, 2013. ,
Seeing stars : Exploiting class relationships for sentiment categorization with respect to rating scales, Proceedings of the 43rd annual meeting on association for computational linguistics, pp.115-124, 2005. ,
Thumbs up ? : sentiment classification using machine learning techniques, Proceedings of the ACL conference on Empirical methods in natural language processing, pp.79-86, 2002. ,
Semeval-2014 task 4 : Aspect based sentiment analysis, Proceedings of the 8th international workshop on semantic evaluation, pp.27-35, 2014. ,
Exploiting subjectivity classification to improve information extraction, Proceedings of the national conference od the american association for artificial intelligence, pp.1106-1111, 1999. ,
Semeval-2014 task 9 : Sentiment analysis in twitter, pp.73-80, 2014. ,
Recognizing contextual polarity in phrase-level sentiment analysis, Proceedings of the conference on human language technology and empirical methods in natural language processing, pp.347-354, 2005. ,