A model which uses your social media posting predict your MBTI personality type.

Machine Learning classifier to predict MBTI personality type of an individual using their tweets 🙍

The Myers Briggs Type Indicator (or MBTI for short) is a personality type system that divides everyone into 16 distinct personality types across 4 axis: Introversion (I) – Extroversion (E) Intuition (N) – Sensing (S) Thinking (T) – Feeling (F) Judging (J) – Perceiving (P) (More can be learned about what these mean here) So for example, someone who prefers introversion, intuition, thinking and perceiving would be labelled an INTP in the MBTI system, and there are lots of personality based components that would model or describe this person’s preferences or behaviour based on the label. It is one of, if not the, the most popular personality test in the world. It is used in businesses, online, for fun, for research and lots more. A simple google search reveals all of the different ways the test has been used over time. It’s safe to say that this test is still very relevant in the world in terms of its use. From scientific or psychological perspective it is based on the work done on cognitive functions by Carl Jung i.e. Jungian Typology. This was a model of 8 distinct functions, thought processes or ways of thinking that were suggested to be present in the mind. Later this work was transformed into several different personality systems to make it more accessible, the most popular of which is of course the MBTI. Recently, its use/validity has come into question because of unreliability in experiments surrounding it, among other reasons. But it is still clung to as being a very useful tool in a lot of areas, and the purpose of this dataset is to help see if any patterns can be detected in specific types and their style of writing, which overall explores the validity of the test in analysing, predicting or categorising behaviour. Content This dataset contains over 8600 rows of data, on each row is a person’s: Type (This persons 4 letter MBTI code/type) A section of each of the last 50 things they have posted (Each entry separated by "|||" (3 pipe characters)) Acknowledgements This data was collected through the PersonalityCafe forum, as it provides a large selection of people and their MBTI personality type, as well as what they have written. Inspiration Some basic uses could include: Use machine learning to evaluate the MBTIs validity and ability to predict language styles and behaviour online. Production of a machine learning algorithm that can attempt to determine a person’s personality type based on some text they have written.

Python code to extract a user's tweets and predict their Myers-Briggs personality type and financial risk tolerance. Uses bag of words model trained using the (MBTI) Myers-Briggs Personality Type Dataset to make predictions.

Capstone Project to Predict MBTI Personality type through a given text

In this project, a machine learning classification model has been developed and trained to predict the Myers–Briggs Type Indicator (MBTI) of a person, based on some questions.

An end-to-end AI pipeline that scrapes LinkedIn profile and post data to predict 16-personality (MBTI) types using a RAG-enhanced LLM fine-tuned with LoRA. It automates data collection, preprocessing, storage in PostgreSQL, and personality inference from real-world behavioral and linguistic patterns.

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This predictive analytics tool uses social posts (Twitter/ Facebook) to predict MBTI personality.

MBTI Personality Prediction – Predict users’ MBTI personality types from text using Machine Learning and NLP. Includes code and detailed report for full reproducibility.

Mini project to train a model to predict MBTI personality of user

Text classification model to predict MBTI personality types using user forum data

A simple streamlit app to predict your MBTI personality type based on your input text

A web app that can predicts one's mbti personality based on some input text written by that person

This project focuses on predicting personality types using the Myers-Briggs Type Indicator (MBTI) framework through the utilization of Cross-Validation (CV) techniques.

MBTI Personality Predictor – A machine learning web app that predicts your MBTI personality type (INTJ, ENFP, etc.) based on your writing. Built with Python, Scikit-learn, and Streamlit, featuring a deployed live app for interactive predictions.

Predicting MBTI personality type using machine learning approach

Predict MBTI personality dimensions based on social media text data

Predicting Author's MBTI Personality Type based on written text.

Exploratory model to predict MBTI personality types using score-based features only.

Project for HackBCA VI in April 2022. An MBTI Personality Predictor that guesses a user's personality type from a short paragraph.

A webapp using a linear SVM model to predict mbti personality types given a paragraph.

In my Data Science class (CS 427), my partner and I created this as our final project. This project aims to predict a person's MBTI personality type based on their text posts using Natural Language Processing (NLP) and machine learning.

Predict personality types as one of the sixteen categories of Myers Briggs personality types (MBTI) based on the correlation between people's writing styles and their psychological personalities.

The research report provides a critical analysis of major personality models, highlighting limitations of MBTI’s binary scoring and poor predictive validity.

TwiType is a university research project aimed at predicting MBTI personality types from Twitter data using psychological and linguistic analysis. The tool offers an interactive platform for personality exploration and behavioral research.

A machine learning project to predict MBTI personality types and explore their correlation with the Big Five traits. Combines data analysis, classification models, and visualization to uncover behavioral patterns and enhance personality insights.

Random forest predictor to classify Twitter profiles based on Myers-Briggs personality type. Also includes a classifier for tweets based on aggression, which was used to gauge aggressiveness of different MBTI types.

Harnessing ML & Neural Network techniques to predict an individual's personality traits based on their Facebook posts and Tweets. This prediction is aligned with the Myers Briggs Type Indicator (MBTI), a widely recognized personality type system that categorizes individuals into 16 distinct personality types.

BrainScan Lite is a web-based machine learning application that predicts a user's Myers-Briggs Type Indicator (MBTI) personality type based on their responses to a short quiz.