A. .. Corpus,

. Schéma and . .. De-sentiments, , p.93

. .. L'identification-des-vidéos-comparables, 93 6.4.1 Méthode fondée sur le dictionnaire bilingue

. .. , 98 6.5.4 Modèle de prédiction de sentiments à granularité fine

.. .. Conclusion,

, Ce projet vise à développer un système d'aide à la compréhension de l'information multilingue. Pour ce qui nous concerne, nous nous focaliserons sur l'établissement d'une revue d'analyse de sentiments à partir de deux vidéos dans deux langues différentes et portant sur le même sujet, Dans ce chapitre nous présentons nos contributions au projet AMIS

, Le premier a consisté à rendre les transcriptions de vidéos obtenues par deux systèmes de reconnaissance de la parole comparables. Pour ce faire, nous avons testé et comparé deux méthodes. La méthode fondée sur la table de traduction a donné le meilleur Rappel, Conclusion Nous avons dans ce chapitre présenté nos contributions au projet AMIS. Nous avons été confrontés à deux défis majeurs

, Pour ce faire, nous avons proposé une méthode fondée sur la théorie linguistique de l'appraisal. Pour résoudre ce problème, à partir d'un lexique de polarité de Minqing Hu et Bing Liu, nous avons développé une méthode pour l'enrichir avec des catégories et sous-catégories de l'appraisal. Pour y arriver, nous avons utilisé la méthode CBOW pour affecter à chaque entrée du lexique Bing la catégorie appraisal correspondante en se basant sur un lexique de catégories de 363 entrées comportant chacune une étiquette appraisal. Cela a conduit à la construction d'un lexique d'appraisal comportant 7,6k entrées. Pour l'évaluation en termes d'opinions de deux vidéos, nous avons proposé une évaluation quantitative et une évaluation qualitative. Cette dernière se présente sous forme d'un canevas dans lequel on restitue l'ensemble des opinions à granularité fine que nous avons identifiées dans chacune des vidéos, Le deuxième défi a consisté à comparer les paires de vidéos comparables en termes d'opinion

A. Karima, . Smaïli, and . Kamel, Natural Language Engineering

, Conférences internationales 1. Measuring the comparability of multilingual corpora extracted from Twitter and others

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, An empirical study of the Algerian dialect of Social network

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