EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets

Ramona-Andreea Turcu, Sandra Maria Amarandei, Iuliana-Alexandra Flescan-Lovin-Arseni, Daniela Gifu, Diana Trandabat


Abstract
The „Affect in Tweets” task is centered on emotions categorization and evaluation matrix using multi-language tweets (English and Spanish). In this research, SemEval Affect dataset was preprocessed, categorized, and evaluated accordingly (precision, recall, and accuracy). The system described in this paper is based on the implementation of supervised machine learning (Naive Bayes, KNN and SVM), deep learning (NN Tensor Flow model), and decision trees algorithms.
Anthology ID:
S18-1026
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
177–180
Language:
URL:
https://www.aclweb.org/anthology/S18-1026
DOI:
10.18653/v1/S18-1026
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1026.pdf