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A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos

Karima Abidi 1 Dominique Fohr 2 Denis Jouvet 2 David Langlois 1 Odile Mella 2 Kamel Smaïli 1
1 SMarT - Statistical Machine Translation and Speech Modelization and Text
LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
2 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : The objective of this paper is to compare the opinions of two videos in two different languages. To do so, a fine-grained approach inspired from the appraisal theory is used to analyze the content of the videos that concern the same topic. In general, the methods devoted to sentiment analysis concern the study of the polarity of a text or an utterance. The appraisal approach goes further than the basic polarity sentiments and consider more detailed sentiments by covering additional attributes of opinions such as: Attitude, Graduation and Engagement. In order to achieve such a comparison, in AMIS (Chist-Era project), we collected a corpus of 1503 Arabic and 1874 English videos. These videos need to be aligned in order to compare their contents, that is why we propose several methods to make them comparable. Then the best one is selected to align them and to constitute the data-set necessary for the fine-grained sentiment analysis.
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Submitted on : Friday, October 11, 2019 - 10:32:36 PM
Last modification on : Monday, January 6, 2020 - 8:28:21 AM

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Karima Abidi, Dominique Fohr, Denis Jouvet, David Langlois, Odile Mella, et al.. A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos. ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.49-61, ⟨10.1007/978-3-030-32959-4_4⟩. ⟨hal-02314244⟩

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