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.

Personality type prediction based on digital activity.

Explores personality type prediction using several scikit-multilearn multi-label classifiers, LSTM, CNN, and BERT.

Personality Prediction using Myers Briggs Type Indicator

Personality type prediction based on digital activity.

Prediction of person’s personality type based on some text they have written.

In this project, the prediction of MBTI personality type is done with the implementation of NLP and ML algorithms.

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

Personality Prediction ML: Predict Myers-Briggs types using NLP & ML techniques. Analyze language patterns to classify individuals into 16 personality types. Data preprocessing, feature extraction, and model training. Valuable insights into psychology & potential applications in recommendation systems.

Human Personality Prediction from Text using the dataset Myers Briggs Type Indicator. The model used to classify the text is XGBoost Classifier.

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Personality type prediction project using MBTI dataset

An LSTM network model for MBTI personality-type prediction

Natural Language Processing: Meyers-Briggs personality type prediction based on analysis of social media posts.

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.

Repository for the "Personality types and traits - Examining and leveraging the relationship between different personality models for mutual prediction" paper submission for the MDPI Applied Sciences Journal

Personality Prediction App is a simple application that predicts your personality type based on your responses to a set of questions. It uses machine learning models to analyze your answers and provide you with a list of personality types ranked by probability. Whether you're curious about your own personality or just want to try out a fun and inte

This project performs personality type prediction using three different machine learning approaches implemented in Python: 🔍 Logistic Regression, 🌳 Decision Tree, 🤖 Multilayer Neural Network

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.

Analysed the relationship between the MBTI personality types of lead character and second lead, and how they predict a movie’s popularity. Performed data analysis and created visualizations in Python. Applied Random Forest model for prediction.

This is web based (FLASK) android application which is used to visualize employee performance and compare the employees based on their performances, so there is no any type of biasness amongs them and we will also provide simple prediction (ML) for each employees in class, so they will work on their progress to improve their personality.

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Predicting personality type with Kaggle site data using a decision tree model

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In this project, we address a binary classification problem focused on predicting an individual’s personality type. Specifically, the task is to determine whether a person is more likely to be an extrovert or an introvert, based on a set of behavioral and social features.

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