Emotion Detection from Text

TL;DR

This paper discusses methods for detecting emotions from text data, integrating NLP and machine learning techniques to classify emotional content in written language.

Contribution

It provides an overview of emotion recognition techniques specifically applied to textual data, highlighting the integration of NLP and machine learning approaches.

Findings

Survey of emotion detection techniques in text

Discussion of NLP and machine learning methods used

Insights into challenges and future directions

Abstract

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.