I made a hybrid artist recommender based on user's personality and ratings using collaborative filtering
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Updated
Jul 22, 2017 - Python
I made a hybrid artist recommender based on user's personality and ratings using collaborative filtering
Generate fictional characters with randomized appearance, personality traits & conflicts.
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.
Manipulating of speech files (pitch, spectral) with Praat. Listening test and data analysis of subjective perceptions of speaker characteristics.
Predictive modeling of users' interpersonal characteristics by the sound of their voices and manner of speaking.
Predict Personality from Facebook Posts in Gurmukhi
Website for bigfive personality test
Personality Test Results
Source code for the project of my Master Thesis
Aims at attributing the big-five personality traits to authors of essays by analyzing their works.
Profiler Application using Sentiment Analysis
Big five trait scores for 307,313 people from many different countries.
TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning
tensorflow sample problems (IPython Notebooks).
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.
A (very amateur) foreign exchange trading bot utilizing CNN + DQN.
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Learning Personality is a bachelor internship project that use neural networks to extract, from natural language (in particular reviews), personality traits, through automatic approaches. @unimib17/18.
Eye Movements During Everyday Behavior Predict Personality Traits (code for https://doi.org/10.3389/fnhum.2018.00105)
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