TwiP : Twitter User Personality Identification - Sell Project
Listed February 15, 2021
About TwiP : Twitter User Personality Identification
A Machine Learning web app used to detect personality using the Twitter Feed.
Personality plays a vital role in today's world. This uses the Twitter REST API to mine tweets for personality identification. We will use n-grams and word vectors for the hashtags, emoticons, and phrases using NLP techniques. We will train the machine to classify the personality types using a Naive- Bayes Text Classifier and accurately predict the user’s Myers-Briggs personality type using 10- fold cross-validation. We will generate naive Bayes classifier models for all 4 different classes. It will generate few scores, which will give the training data size and the features used while training the model.
Project details
Built with: Machine Learning,Natural Language Processing,Flask API,django/python,Heroku
Website: https://anirudhxtwitter.herokuapp.com/
Next step: <p>They can limit it to private use cases or probably turn this into a Psychiatric Checking application using the tools to convert the Website to iOS and Android Applications.</p>
For sale
Asking price: $500 USD
What's included
All related design work, Source code, All related data
Reason for selling
I am selling this project because I am currently in need of money and would like to sell this project.
Project metrics
Average Monthly Visitors: Under 1K/mo
Average Monthly Revenue: Undisclosed
Average Monthly Downloads: Under 1K/mo