Computational Personality Recognition

For the natural and social interaction it is necessary to understand human behavior. Personality is one of the fundamental aspects, by which we can understand behavioral dispositions. It is evident that there is a strong correlation between user's personality and the way they behave on social networks (e.g., Facebook). Gaining insights into a web user’s personality is very valuable for applications that rely on personalisation, such as: Recommender Systems, Personalized Advertising, Online Marketing, Sentiment Analysis/Opinion Mining, Deception Detection, Social Network Analysis and many others. This project aims for automatic recognition of Big-5 personality traits on social network (Facebook) using user's status text that can be compared against gold standard annotation obtained by means of the big 5 personality test.The five big5 personality traits includes:

  1. Extraversion: (x/e)(sociable vs shy)
    • This trait includes characteristics such as excitability, sociability, talkativeness, assertiveness and high amounts of emotional expressiveness.
  2. Neuroticism: (n)(neurotic vs calm)
    • Individuals high in this trait tend to experience emotional instability, anxiety, moodiness, irritability, and sadness.
  3. Agreeableness:(a)(friendly vs uncooperative)
    • This personality dimension includes attributes such as trust, altruism, kindness, affection, and other prosocial behaviors.
  4. Conscientiousness:(c)(organized vs careless)
    • Common features of this dimension include high levels of thoughtfulness, with good impulse control and goal-directed behaviors. Those high in conscientiousness tend to be organized and mindful of details.
  5. Openness: (o)(insightful vs unimaginative)
    • This trait features characteristics such as imagination and insight, and those high in this trait also tend to have a broad range of interests.


Data Mining, Machine Learning

Technologies Needed

Project Structure

What we provide

  • Videos on Required technologies by Ravindrababu Ravula
  • Project Implementation Videos by Ravindrababu Ravula
  • Presentation Slides
  • Assignments with solutions
  • 12 weeks of expert guidance
  • Assistance to Complete the Documentation

Fee Structure

Fee for the Complete Project including the required technical courses is Rs. 20000.00 (Please refer to the specific project to know the list of courses included)

Commencement and Validity

  • Programme commences from Jan 1, 2017
  • Validity for video lectures is 6-months from the commencement of the project
  • Expert guidance will be provided only for 12weeks from commencement of the project

Registration procedure

If you are interested in registering, you can make the payment in the following account either through net banking or at your nearest HDFC bank and email us the transaction id or scan copy of the pay-in-slip.
Account Name : Raudra Eduservices Private Limited
Account Number : 50200012182576
Account type : Current account
Bank : HDFC
After the payment is done, you can email us the screen shot or picture of transaction details or the pictures of the bank pay in slip at Once it is done, you will receive an acknowledgement mail regarding your payment status and will be given access to private lecture videos, assignments and source code from Jan 1 2017. You can watch the videos online anytime, anywhere and any number of times. Please note that the videos are not downloadable. Sharing your access or trying to sell or distribute videos is a legally punishable offense. Earlier we caught some people doing this and they were punished legally and a huge penalty was imposed on them.