Analysis of Inferences in Chinese for Opinion Mining

Liyun Yan


Abstract
Analysis of Inferences in Chinese for Opinion Mining Opinion mining is an essential activity for economic watch, made easier by social networks and ad hoc forums. The analysis generally relies on lexicon of sentiments. Nevertheless, some opinions are expressed through inferences. In this paper, we propose a classification of inferences used in Chinese in tourist comments, for an opinion mining task, based on three levels of analysis (semantic realization, modality of realization and production mode). We proved the interest to analyze the distinct types of inferences to identify the polarity of opinions expressed in corpora. We also present some results based on word embeddings.
Anthology ID:
2018.jeptalnrecital-recital.2
Volume:
Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT
Month:
5
Year:
2018
Address:
Rennes, France
Editors:
Pascale Sébillot, Vincent Claveau
Venue:
JEP/TALN/RECITAL
SIG:
Publisher:
ATALA
Note:
Pages:
17–26
Language:
URL:
https://aclanthology.org/2018.jeptalnrecital-recital.2
DOI:
Bibkey:
Cite (ACL):
Liyun Yan. 2018. Analysis of Inferences in Chinese for Opinion Mining. In Actes de la Conférence TALN. Volume 2 - Démonstrations, articles des Rencontres Jeunes Chercheurs, ateliers DeFT, pages 17–26, Rennes, France. ATALA.
Cite (Informal):
Analysis of Inferences in Chinese for Opinion Mining (Yan, JEP/TALN/RECITAL 2018)
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PDF:
https://aclanthology.org/2018.jeptalnrecital-recital.2.pdf