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 🙍

Myers–Briggs Type Indicator (MBTI) classification where my classifier can classify your personality type based on Isabel Briggs Myers self-study Myers–Briggs Type Indicator (MBTI). The classification result can be further used to match people with the most compatible personality types

An XGBoost-based MBTI Personality Type classifier for tweet data and user input. Winner for Best Overall Hack at the MAIS Hackathon 2020.

In this session, we’ll show you how to use machine learning to analyse a person’s personality based on their real-time Twitter feed. Specifically, we’ll first use the Twitter API to procure our input data before running a naive Bayes classifier to train and test our model, which will then be able to categorize new Twitter profiles live into a Myers-Briggs Type Indicator (MBTI). Most of you will already be familiar with this popular metric, which uses a 4 letter result (such as INFJ or ENFP) to summarize different personality characteristics in terms of how individuals perceive the world and make decisions. Normally, this is derived through questionnaires and psychometric tests administered to each person, but here we’ll automatically get a result at the click of a button. Prerequisites: —JupyterLab (https://jupyter.org/) —Twitter Developer Account (https://developer.twitter.com/en/dashboard) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings #MachineLearninng #JupyterLab

A clean, modular Python package that classifies MBTI personality types from user-written text using NLP techniques. Built with reproducibility, readability, and best software engineering practices in mind

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Classify your personality type into 6 types, according to the MBTI model, by attaching a post to the model on Facebook or a tweet on Twitter.

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Classifying MBTI personality types from a given text! :smiley:

Production-grade MBTI personality classifier with GPU-accelerated multi-task neural networks in Rust (52.05% accuracy)

Classify a person's MBTI personality type using text from what they post online.

👥 A machine learning project that classifies text into one of the 16 MBTI personality types based on user posts.

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.

This is a short course project that deals with classifying personality in the MBTI axis, of a user from his history of tweets.

The project uses machine learning to create a classifier for the Myers-Briggs Type Indicator (MBTI), a metric that summarizes different personality characteristics. Results are provided after the analysis of a Twitter account feed.

Personality prediction is an important application area of affective computing. The process of assessing the personality of users is proposed in this project using questionnaires answered by the user and classifying the personality according to MBTI traits. This project proposed a framework in which some questions are to be answered by the user. Every question has an option in the form of agree or disagree and then the model predicts the personality of the user from the 16 MBTI traits with a description of personality trait based on the questions answered. This project used deep learning approach. Recurrent Neural Network(RNN) along with Long Short-Term Memory units (LSTM) is used to develop this project. Accuracy of the proposed model achieved is 64.5 which could overcome the average accuracy of personality prediction classifier made while previously it was 55% using RNN. This model which makes use of Questionaries’ can be used as a feedback system in academics and organisation for improving the quality of life of students and employees.

Twitter Personality Classifier - MBTI

Classifying MBTI personality

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Final project for CPSC 322 (Data Science Algorithms)

NLP classifier predicting Thinking vs Feeling from text - 69% accuracy with data leakage mitigation

MBTI personality classification using HAN document classifier

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HuggingFace-based NLP classifier that predicts MBTI personality types from textual input using transformer models.

PyTorch CNN MBTI Personality classifier (designed to be deployed on Streamlit)

A machine learning project using Weka on classifying people's MBTI personality through text.