PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets

Henrique Santos, Renata Vieira


Abstract
Linguistic Inquiry and Word Count (LIWC) is a rich dictionary that map words into several psychological categories such as Affective, Social, Cognitive, Perceptual and Biological processes. In this work, we have used LIWC psycholinguistic categories to train regression models and predict emotion intensity in tweets for the EmoInt-2017 task. Results show that LIWC features may boost emotion intensity prediction on the basis of a low dimension set.
Anthology ID:
W17-5225
Volume:
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
September
Year:
2017
Address:
Copenhagen, Denmark
Venues:
WASSA | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
189–192
Language:
URL:
https://www.aclweb.org/anthology/W17-5225
DOI:
10.18653/v1/W17-5225
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PDF:
http://aclanthology.lst.uni-saarland.de/W17-5225.pdf