EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in \#Tweets
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Ramona-Andreea Turcu, Amar, S ei, ra Maria, Iuliana-Alex Flescan-Lovin-Arseni, ra, Daniela Gifu, Tr, Diana abat
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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.