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The task of predicting fine grained user opinion based on spontaneous spoken language is a key problem arising in the development of Computational Agents as well as in the development of social network based opinion miners.
A multimodal movie review corpus for fine-grained opinion mining
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Bing Liu. 2012 · 2012
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The language of evaluation , volume 2
James R Martin and Peter R White. 2013 · 2013
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Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Caroline Langlet and Chloé Clavel. 2015a · 2015
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Maria Pontiki, Dimitris Galanis, Haris Papageorgiou, Ion Androutsopoulos, Suresh Manandhar, AL-Smadi Mohammad, Mahmoud Al-Ayyoub, Yanyan Zhao, Bing Qin, Orphée De Clercq, et al. 2016 · 2016
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Sebastian Ruder. 2017 · 2017
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Minh-Thang Luong, Hieu Pham, and Christopher D Manning. 2015 · 2015
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Sentiment analysis: from opinion mining to human-agent interaction
Chloe Clavel and Zoraida Callejas. 2016 · 2016
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Grounding the detection of the user’s likes and dislikes on the topic structure of human-agent interactions
Caroline Langlet and Chloé Clavel. 2016 · 2016
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Deep multimodal fusion for persuasiveness prediction
Behnaz Nojavanasghari, Deepak Gopinath, Jayanth Koushik, Tadas Baltrušaitis, and Louis-Philippe Morency. 2016 · 2016
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Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user’s likes and dislikes
Caroline Langlet and Chloé Clavel. 2015b
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Early detection of user engagement breakdown in spontaneous human-humanoid interaction
A. Ben Youssef, C. Clavel, and S. Essid. 2019 · 2019
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Leo Hemamou, Ghazi Felhi, Vincent Vandenbussche, Jean-Claude Martin, and Chloé Clavel. 2018 · 2019
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