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.
● Use the Twitter REST API to mine tweets for personality identification.
● Create n-grams and word vectors for the hashtags, emoticons and phrases using NLP techniques like TF-IDF.
● Train the machine to classify the personality types by using a Naive-Bayes Text Classifier.
● Accurately predict the user’s Myers-Briggs personality type using 10-fold cross validation.
How to use:
- run pyGen first to generate your naive bayes classifier models. Alternatively, you can use any other text classification models.
- run pyPredict(use your own Twitter keys) and enter the username you want to predict.
Flowchart of Project:
Test result:
