Personality Trait Identification for Written Texts Using MLNB
The regular use of online social networking has increased tremendously in recent time, and users present themselves in the form of posts and shares to the virtual world. This human specific-information is considered important and crucial and helps to unde
- PDF / 193,783 Bytes
- 7 Pages / 439.37 x 666.142 pts Page_size
- 76 Downloads / 177 Views
1 Introduction Personality of a person is supposed to be the unique set of behavioral characteristics of him, this is can be used to predict the human response in many types of interaction; his attitude toward life, jobs, family, etc. Hence, the written expressions reflect the human’s personality, and all the personality are based on three aspects behavior, emotions, mood. The main aim is to define the personality is based on the written texts. The present era is supposed to be the information age in which the use of social networking has become part and parcel of life. The use of the Internet and social networking sites is used for a variety of purposes covering the personal, social, political, commercial area. These psychological issues are the combined reflection of mood, emotion, and personality of the person. If the Facebook post shared by human is analyzed properly, it will give the approximate estimation of the behavioralrelated issues of the individual. A huge number of researchers around the world have been attracted to work on this research domain from different fields, especially researchers in computational linguistics, psychology, artificial intelligence, natural language processing, human–machine interaction, behavioral analytics, and machine learning. Hence, the written expressions reflect the human’s personality and all the S. Arjaria (B) · A. Shrivastav Department of CSE, TIT, Bhopal, India e-mail: [email protected] A. Shrivastav e-mail: [email protected] A. S. Rathore SVIIT, SVVV, Indore, India e-mail: [email protected] V. Tiwari Department of CSE, SIRT, Bhopal, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2019 R. K. Shukla et al. (eds.), Data, Engineering and Applications, https://doi.org/10.1007/978-981-13-6347-4_12
131
132
S. Arjaria et al.
personality are based on three aspects behavior, emotions, mood and where the emotion is the labyrinthine psycho-physiological actions of an individual’s position while interacting with other individuals or entities. In most cases, the emotion mining is usually based on the written text. According to Baker [1], the words which we are using in our daily life reflects our personality, thought, thought process. The proposed work is based on the same assumption and identifies a person uniqueness from written text with the help of Big Five trait taxonomy [2]. The need of a consistent method and improved performance to analyze the human personality based on the written texts, that easily describe personality of individual, led many researches to efforts to categorize personality with distinct aspects. The personality prediction may be applied in different domains, like, job recruitment, analyzing deception, friends, matrimonial, and social Web sites [3]. It might be useful for developing user-friendly systems that are customized as per personality of end user with supervised learning. The proposed work identifies the personality on an individual using Big Five Personality traits [2] model from a text corpus
Data Loading...
