personality-traits

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Website for taking personality tests

Website for bigfive personality test

A Natural Language Processing (NLP), Machine Learning and Data Mining project, which will automate the screening process before hiring a professional or can be used in psychiatry to check effectivity of patient therapy.

Big five trait scores for 307,313 people from many different countries.

TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning

A (very amateur) foreign exchange trading bot utilizing CNN + DQN.

MBTI personality detection in Turkish Language

Profiler Application using Sentiment Analysis

Aims at attributing the big-five personality traits to authors of essays by analyzing their works.

BB-SVM model for automatic personality detection of the essays dataset (Big-Five personality labeled traits)

Quizzaro The Personality Quiz

Predictive modeling of users' interpersonal characteristics by the sound of their voices and manner of speaking.

A node.js application that I made during a hackathon. It uses IBM's Watson API to predict a Twitter user's personality traits.

Generate fictional characters with randomized appearance, personality traits & conflicts.

I made a hybrid artist recommender based on user's personality and ratings using collaborative filtering

From the given database Find out the personality using this personality traits. Applications in psychology Factor analysis has been used in the study of human intelligence and human personality as a method for comparing the outcomes of (hopefully) objective tests and to construct matrices to define correlations between these outcomes, as well as finding the factors for these results. The field of psychology that measures human intelligence using quantitative testing in this way is known as psychometrics (psycho=mental, metrics=measurement). Advantages 1)Offers a much more objective method of testing traits such as intelligence in humans 2)Allows for a satisfactory comparison between the results of intelligence tests 3)Provides support for theories that would be difficult to prove otherwise

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.

Recognition of Persomnality Types from Facebook status using Machine Learning

We developed an interpretable CNN for big five personality traits using human speech data. This project discovers the different frequency patterns of a human voice with respect to each five personality traits. This project will help us to understand the apparent personality of a human using his/her voice.

Know Thyself - find out your engineering persona!

A text analyzer in java using IBM Waston AI.

Eye Movements During Everyday Behavior Predict Personality Traits (code for https://doi.org/10.3389/fnhum.2018.00105)

Implementation of Decision Tree algorithm to classify the personalities of the people. Data used was the combination of data from Big Five personality test and 16 personality test.

Based on the Big Five Personality Traits (FFM: Five-Factor Model), a Personality Group will be output for each case.

Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).

Big five personality traits calculator build with Vue and using pre-rendering for better SEO