EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in #Tweets (original) (raw)

2018, Proceedings of The 12th International Workshop on Semantic Evaluation

AI-generated Abstract

Emotion Analysis in NLP focuses on recognizing emotions and their intensities. The study introduces EmoIntens Tracker, a system developed for the SemEval-2018 Task 1, targeting emotion intensity prediction in tweets through regression and ordinal classification tasks for emotions like joy, sadness, anger, and fear. Utilizing machine learning, deep learning, and decision tree algorithms, the system demonstrates notable performance, particularly excelling in the detection of joy and suggesting further exploration into emotional classification balancing.