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Data Mining For Automated Personality Classification

We come across areas where we have access to large amounts of person behavioral data. This data can help us classify persons using Automated personality classification (APC). In this project, we propose an advanced APC – automated personality classification system. We here use learning algorithms along with advanced data mining to mine user characteristics data and learn from the patterns. This learning can now be used to classify/predict user personality based on past classifications. The system analyses vast user characteristics and behaviors and based on the patterns observed, it stores its own user characteristics patterns in a database. The system now predicts new user personality based on personality data stored by classification of previous user data. This system is useful to social networks as well as various ad selling online networks to classify user personality and sell more relevant ads. Also the system is useful for government agencies to observe user personality and predict new user personality on a large scale.

Features:

Automated Personality Classification (APC) is used to detect the personality of the person.

Personality of the user is compared with previous data on server, based on this data system will detect the personality of the user.

Personality is typically assessed along five dimensions known as the Big Five:

• Extraversion vs. Introversion (sociable, assertive, playful vs. aloof, reserved, shy)

• Emotional stability vs. Neuroticism (calm, unemotional vs. insecure, anxious)

• Agreeableness vs. Disagreeable (friendly, cooperative vs. antagonistic, faultfinding)

• Conscientiousness vs. Unconscientiously (self-disciplined, organized vs. inefficient, careless)

• Openness to experience (intellectual, insightful vs. shallow, unimaginative)

System will examine the personality of the user based on personality traits and will specify user belongs to which personality. Based on his personality, system will display other features which is relevant to his personality.

Experimental Method

We conduct a set of experiments to examine whether automatically trained models can be used to recognize the personality of unseen subjects. Our approach can be summarized in five steps:

1. Store Data related to personality in database

2. Collect associated personality characteristics for each participant;

3. Extract relevant features from the texts;

4. Display features relevant to his personality traits

5. Personality and User Behavior

The following sections describe each of these steps in more detail.

Store Data related to personality traits in database

The personality characteristics are stored in database. Later, when user enters his personality characteristics his personality is examined in large pre-existing databases and system will detect the personality of the user.

Collect associated personality characteristics for each participant;

Each user will enter his personality characteristics than system will detect the personality of the user, based on the previous data stored in database.

Extract relevant features from the texts

System will extract relevant features from the text entered by the user. System will compare this text with data stored in database. After comparison, system will specify the personality of the user.

Display features relevant to his personality traits

System will examine the personality of the user based on the personality traits mentioned by the user. And will provide user with various features which is relevant to his personality traits.

Personality and User Behavior

The relation between personality and user behavior is tested. The hypothesis is that conscientiousness, agreeableness and neuroticism predict unique variance attitudes.

Feasibility Study

Our Proposed system will provide information about the personality of the user. Based on the personality traits provided by the user, System will match the personality traits with the data stored in database. System will automatically classify the user’s personality and will match the pattern with the stored data. System will examine the data stored in database and will match the personality traits of the user with the data in database. Than system will detect the personality of the user. Based on the personality traits of the user, system will provide other features that are relevant to the user’s personality.

Economic Feasibility

This system will help advertisement people to market their products based on the personality of the user which in turn provide income to the firm who is using this system. This system can be embedded with social sites, as many users can buy and sell their product using these social networks.

Operational Feasibility

This system is more reliable, maintainable, affordable and producible. These are the parameters which are considered during design and development of this project. During design and development phase of this project there was appropriate and timely application of engineering and management efforts to meet the previously mentioned parameters.

Technical Feasibility

The back end of this project is SQL server which stores data related to personality traits and other details which is related to this project. There are basic requirement of hardware to run this application. This system is developed in .Net Framework using C#. This application will be online so this application can be accessed by using any device like (Personal Computers, Laptop and with some hand held devices).

Advantages

This system will help many firms to market their products and also helps them to target the right customers.

Many users will get to know about their personality based on their personality traits.

This system is useful for the social networking sites which help these sites to increase their rating scale.

As the results are based on previous data stored in database, so the system will provide with appropriate result.

Disadvantages

This system requires internet connection in order to access this application.

If user enters wrong personality traits the result will not match the personality of the person. So, the user must describe his personality correctly.

Future Scope

There can be module where user will be provided with career guidance which matches his personality.

For example: if a user has the ability to speak well and able to convince opposite person. So, this user will be good in marketing field.

Software Requirements:

Windows

Sql

Visual studio 2010

Hardware Components:

Processor – Dual Core

Hard Disk – 50 GB

Memory – 1GB RAM

Internet Connection

Application

This system can be helpful for firms to identify the personality of the interviewee based on the personality traits of the interviewee.

This system is useful for the firms for marketing their products and helps them to target the correct customers.

References:



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