Personality Trait Classification Using CNN-LSTM Model

Abstract

Cognitive base sentiment analysis for understanding the behaviour of the user on the basis of tweets post by them in their social media has become a common technique nowadays. These techniques are not showing accurate result. In our paper we come forward with a hybrid based deep learning model called convolution neural network with LSTM to improve the efficiency of current technique. We classify the personality trait into 8 types they are introversion, extroversion,intuition,sensing,thinking,feeling,judging,perceiving .This type of method have shown better result in comparison with the existing system. This technology is helpful in recruiting people for various jobs. We also introduce the concept of audio to text conversion where user give their audio to the system and our system will tell the emotions based on given audio.

Tasks

Reproductions