A Novel Approach for Emotion Detection from Text Data using Natural Language Processing and Machine Learning
Subhodeep Banerjee, Shrivasta Goswami, Arnab Das, Neeloy Saha, Soumyashree Seth, Sagnik Bhattacharya, Sandip Mandal, UEM Kolkata · American Journal of Electronics & Communication · 2021
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 we are proposing a solution for emotion recognition based on textual data. The emotion expressed in a blog, review or any kind of textual content remains unused until the text is analyzed and the emotion is retrieved from the data. It is impossible to analyze the huge amount of data manually and gain information from it.