Emotion Detection from Text
This is an incremental review of existing methods for emotion detection in text, which could benefit researchers in NLP and ML.
The paper tackles the problem of emotion detection from text as a content-based classification task, discussing techniques from natural language processing and machine learning without presenting new results or concrete numbers.
Emotion can be expressed in many ways that can be seen such as facial expression and gestures, speech and by written text. Emotion Detection in text documents is essentially a content - based classification problem involving concepts from the domains of Natural Language Processing as well as Machine Learning. In this paper emotion recognition based on textual data and the techniques used in emotion detection are discussed.