TIA uses machine learning models to create an advanced stalking report. If the user has a public Twitter account, the rest is easy for TIA. (Twint package is used in the data gathering process.)

TIA will be deployed after some improvements.

Contact me at [email protected] for any personal/business inquiries or if you want to contribute.

As of v0.1, TIA

• Predicts the gender of a user based on their tweets (TR/EN)
• Shows the positivity/negativity in user's tweets with a score (TR/EN)
• Shows the subjectivity in user's tweets with a score (TR/EN)
• Shows the user's most frequent mentions (TR/EN)
• Creates word clouds from the user's tweets and tweets to the user (TR/EN)
• Creates date-wise/hourly plots for the user's tweeting frequency (TR/EN)
• Creates date-wise/hourly plots for the user's polarity(sentiment) (EN)
• Creates date-wise/hourly plots for the user's subjectivity (EN)

For v0.1:

• Git clone
• Download the needed packages used in the project, PyCharm will help you on that
• Change the URL_ROOT variable in tia/stalk/init.py
• Scrape the user with scrape_user.py script
• Run run.py