From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, Chloé Clavel


Abstract
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. Unfortunately, gathering reliable data on which a model can be trained is notoriously difficult and existing works rely only on coarsely labeled opinions. In this work we aim at bridging the gap separating fine grained opinion models already developed for written language and coarse grained models developed for spontaneous multimodal opinion mining. We take advantage of the implicit hierarchical structure of opinions to build a joint fine and coarse grained opinion model that exploits different views of the opinion expression. The resulting model shares some properties with attention-based models and is shown to provide competitive results on a recently released multimodal fine grained annotated corpus.
Anthology ID:
D19-1556
Volume:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Month:
November
Year:
2019
Address:
Hong Kong, China
Venues:
EMNLP | IJCNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
5539–5548
Language:
URL:
https://aclanthology.org/D19-1556
DOI:
10.18653/v1/D19-1556
Bibkey:
Cite (ACL):
Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid, and Chloé Clavel. 2019. From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 5539–5548, Hong Kong, China. Association for Computational Linguistics.
Cite (Informal):
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining (Garcia et al., EMNLP-IJCNLP 2019)
Copy Citation:
PDF:
https://aclanthology.org/D19-1556.pdf
Attachment:
 D19-1556.Attachment.pdf