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 🙍

DeepMBTI is an AI-powered MBTI full-stack predictor application. The app includes an interactive front-end that links to an NLP Log Reg ML Model back-end, utilizing HTML/CSS, Python, Flask, PostgreSQL, and Sklearn.

An app that predict your MBTI Profile using your Spotify public activity

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.

A ML model that given a collection of "posts" as input returns the most suited Myers-Briggs personality type indicator (MBTI) associated to the author

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

No description available

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.

In this project, an RNN is used to predict the Myers–Briggs Type Indicator (MBTI) of a person, based on their posts on social media.

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.

No description available

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

Predicting MBTI's Judging-Perceiving Dichotomy from online social forum dataset

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

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

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

Predicting MBTI personalities (as a pre-step to predicting the Big 5) using text and support vector machines in R.

Predicting MBTI characteristics from ChaLearn dataset from image and audio features using deep learning model

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.

This was my final capstone project for General Assembly's Data Science Immersive Program

predicts your Myers Briggs type from social media posts and texts (personal project)

Predicting MBTI personality type using machine learning approach

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

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.

Model fine tuned with BigBird is included

Predict MBTI personality dimensions based on social media text data