44 citations · 129 across the 46 of their papers we have counts for
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cs.CL2019★ 11 cited
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
Alexandre Garcia, Pierre Colombo, Slim Essid +2
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 developm…
cs.MM2019★ 8 cited
A multimodal movie review corpus for fine-grained opinion mining
Alexandre Garcia, Slim Essid, Florence d'Alché-Buc +1
In this paper, we introduce a set of opinion annotations for the POM movie review dataset, composed of 1000 videos. The annotation campaign is motivated by the development of a hie…