Emotion Detector Using Deep Learning

Ankit Kumar; Ayush Verma; Nihal Kr. Singh

Abstract

In 1884, Sir Francis Galton firstly came up with the idea that personality could be broken into different sub-features (PE and ST,). As time goes on, this idea got to be adapted and more completed. Then the theory of 5 Big Personality traits came out. 5 big personality traits suggest that human’s personality can be described by five primary factors: extroversion, conscientiousness, agreeableness, neuroticism, and openness. Extroversion indicates how outgoing a person is. Conscientiousness describes how organized and efficient the person could be. Agreeableness represents the tendency of being cooperative versus suspicious of a person. Neuroticism describes the level of how sensitive a person is. And Openness reflects the extent of Curiosity and Creativity a person would have. Each of the five factors represents a unique aspect of human personality.

Keywords

Deep Learning, Neural Networks, Tokens, Logistic Regression

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Cites this article as

A. K. , A. V. , N. K. Singh, "Emotion Detector Using Deep Learning", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-5, Issue-6, Page No-256-257, 2018. Available from: