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In this project, I predicted a person's personality type by analyzing their social media post. I made a book recommendation website by analyzing the personality type of Goodreads.com reviewers. I used TF/IDF and logistic regression and advanced to Neural networks and gradient boosting algorithms. I am currently working on using BERT for vectoriz…

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farhadsaff/Capstone_TDI_MBTI

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Predicting MBTI personality score of a person base on their social media post.

The Myers–Briggs Type Indicator (MBTI) is an introspective self-report questionnaire indicating differing psychological preferences in how people perceive the world and make decisions. The test attempts to assign four categories: introversion or extroversion, sensing or intuition, thinking or feeling, judging or perceiving. One letter from each category is taken to produce a four-letter test result, like "INFJ" or "ENFP". (Source: Wikipedia)

This project has wide range of business applications. If we know how certain people interact with their environment we can make proper recommendations to them. The recommendations can range from book, or movie recommendations to the next travel destination. For example, introverted people may want to be engaged in more relaxed activities in comparison to extroverts who like large parties and adventures.

The following book reccomendation website is created to showcase this project: https://myers-briggs-book-recomendatio.herokuapp.com/

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In this project, I predicted a person's personality type by analyzing their social media post. I made a book recommendation website by analyzing the personality type of Goodreads.com reviewers. I used TF/IDF and logistic regression and advanced to Neural networks and gradient boosting algorithms. I am currently working on using BERT for vectoriz…

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