This paper describes our submissions to SemEval 2018 task 1. The task is affect intensity prediction in tweets, including five subtasks.

This paper describes our submissions to SemEval 2018 task 1. The task is affect intensity prediction in tweets, including five subtasks.

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models. Author. Xu, Huimin and Lan, Man and Wu ...

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models. Huimin Xu | Man Lan | Yuanbin Wu |. Paper ...

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models ... SemEval-2018 Task 11: Using Deep Learning ...

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learn... · Huimin Xu · Mansour Al-helalat Al-Ajarmah · Yuanbin Wu.

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models. 231-235. view. electronic edition via DOI ...

This paper describes the system that has been submitted to SemEval-2018 Task 1: Affect in Tweets (AIT) to solve five subtasks and is placed among the Top3 ...

ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models. Xu, Huimin and Lan, Man and Wu, Yuanbin.

ECNU at SemEval-2018 task 1: Emotion intensity prediction using effective features and machine learning models. H Xu, M Lan, Y Wu. Proceedings of the 12th ...