Detecting Implicit Expressions of Affect from Text using Semantic Knowledge on Common Concept Properties

Alexandra Balahur, Hristo Tanev


Abstract
Emotions are an important part of the human experience. They are responsible for the adaptation and integration in the environment, offering, most of the time together with the cognitive system, the appropriate responses to stimuli in the environment. As such, they are an important component in decision-making processes. In today’s society, the avalanche of stimuli present in the environment (physical or virtual) makes people more prone to respond to stronger affective stimuli (i.e., those that are related to their basic needs and motivations ― survival, food, shelter, etc.). In media reporting, this is translated in the use of arguments (factual data) that are known to trigger specific (strong, affective) behavioural reactions from the readers. This paper describes initial efforts to detect such arguments from text, based on the properties of concepts. The final system able to retrieve and label this type of data from the news in traditional and social platforms is intended to be integrated Europe Media Monitor family of applications to detect texts that trigger certain (especially negative) reactions from the public, with consequences on citizen safety and security.
Anthology ID:
L16-1185
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
1165–1170
Language:
URL:
https://aclanthology.org/L16-1185
DOI:
Bibkey:
Cite (ACL):
Alexandra Balahur and Hristo Tanev. 2016. Detecting Implicit Expressions of Affect from Text using Semantic Knowledge on Common Concept Properties. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1165–1170, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Detecting Implicit Expressions of Affect from Text using Semantic Knowledge on Common Concept Properties (Balahur & Tanev, LREC 2016)
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PDF:
https://aclanthology.org/L16-1185.pdf