Alm, C.O., Roth, D. and Sproat, R. (2005) Emotions from Text: Machine Learning for Text-based Emotion Prediction. Proceedings of the Human Language Technology Conference and the 2005 Conference on Empirical Methods in Natural Language Processing, Vancouver, Canada, 6-8 October 2005, 579-586.
https://doi.org/10.3115/1220575.1220648

has been cited by the following article:

• TITLE: Text-Based Intelligent Learning Emotion System

  AUTHORS: Mohammed Abdel Razek, Claude Frasson

  KEYWORDS: Text Based Emotion, Intelligent Learning System, Dominant Meaning

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.9 No.1, February 6, 2017

  ABSTRACT: Nowadays, millions of users use many social media systems every day. These services produce massive messages, which play a vital role in the social networking paradigm. As we see, an intelligent learning emotion system is desperately needed for detecting emotion among these messages. This system could be suitable in understanding users’ feelings towards particular discussion. This paper proposes a text-based emotion recognition approach that uses personal text data to recognize user’s current emotion. The proposed approach applies Dominant Meaning Technique to recognize user’s emotion. The paper reports promising experiential results on the tested dataset based on the proposed algorithm.