Detection and Classification of Psychopathic Personality Trait from Social Media Text Using Deep Learning Model

Algorithm 1

Pseudocode regarding personality detection in input text by exploiting BILSTM.

Input: Personality dataset “E”, Train Set “TRS”, Test Set “TES”

Output: Personality label regarding input text: Psychopath vs Nonpsychopath

Start

Section 1: Numeric representation of input text

1. while each input text T E

2.  while word w E

3.  Allocate index to related word

4.  End while

5. End while

Hyperparameter Initialization

6. train set size=90%, test set size=10%, max-features=2000, embed_dim=128, batch_size=32, epochs=7

Section 2: Developing Deep Neural Network Model

7. while each input text T E_TRS

8. Create embedding vector of entire words in T = [t_1, t₂, t₃, t₄, … , t_m] //Convert text to machine readable feature(word) vector

9. Apply dropout layer for overfitting reduction

10. Apply operation of BILSTM using Eq. ((1)-(12), (13)

11. End while

Section 3: Evaluating the Model

12. while each input text T E_TES

13. Developed a Train Model

  Apply softmax operation (using Eq. (13) to classify the input text into Psychopath vs Nonpsychopath

14. End while

Terminate