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IJSTR >> Volume 10 - Issue 5, May 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Analysis Of Personality Assessment Based On The Five-Factor Model Through Machine Learning

[Full Text]

 

AUTHOR(S)

Noureen Aslam, Khalid Masood Khan, Afrozah Nadeem,Sundus Munir, and JavairyaNadeem

 

KEYWORDS

Deep sequential neural network, Five-Factor model, Multi-target regression model, Machine learning, Social media, Twitter.

 

ABSTRACT

Social media is one of the most popular platformsand people from all the diverse fields such as students or professionals explore social media daily. It is a platform where people are available from different cultures and religions. With the advancement of technologies in every field of life, there is an increased demand for social media. Whenever people go online they generate rich data through their smartphones or internet pads. Their texting style, taste in music, books, likes, dislikes, sharing posts reveal their personality, therefore social media is an ideal platform to study the human personality. Personality has been considered as an essential factor and it is a combination of different attributes that make a person unique from one another. In our proposed work, we used Twitter data and myPersonality datasets to perform an objective assessment using a deep sequential neural network and multi-target regression model for predicting personality traits. The proposed algorithm is based on the Five-Factor Model (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism). The efficacy of the proposed technique has been measured by MSE, MAE, Precision, Recall, and F1-Score. Experimental results show that our model is robust and ithas outperformed the existing techniques to predict human personality traits.

 

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