EmoTxt: A Toolkit for Emotion Recognition from Text
This provides a tool for researchers and practitioners in natural language processing to analyze emotions in text, but it appears incremental as it builds on existing emotion recognition methods.
The authors tackled emotion recognition from text by developing EmoTxt, a toolkit trained and tested on a dataset of about 9K online interactions, and they claim it is the first open-source toolkit supporting both emotion recognition and custom model training.
We present EmoTxt, a toolkit for emotion recognition from text, trained and tested on a gold standard of about 9K question, answers, and comments from online interactions. We provide empirical evidence of the performance of EmoTxt. To the best of our knowledge, EmoTxt is the first open-source toolkit supporting both emotion recognition from text and training of custom emotion classification models.