Open AccessAn Efficient Soft Computing Approach for Text Identification using Artificial Intelligence Model
Author(s) -
S. Bhushan
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35766
Subject(s) - agreeableness , conscientiousness , computer science , openness to experience , identification (biology) , personality , extraversion and introversion , artificial intelligence , big five personality traits , neuroticism , field (mathematics) , machine learning , natural language processing , psychology , mathematics , social psychology , botany , biology , pure mathematics
This paper presents an enhanced system in the field of text identification using Soft computing techniques. The model designed in this work analyzes the blogs or input text and classifies the personality into five major categories; Neuroticism, Extraversion, Openness, Conscientiousness and Agreeableness. The blog or text is first passed through POS tagger then a feature vector matrix is generated according to the attributes of the personality chart. Each column of FVM is calculated in its domain that improves the final result of personality identification. The result of the proposed model is improvement over similar work by other researchers [1, 2, 3].