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.)
Contact me at u.kaanusta@gmail.com for any personal/business inquiries or if you want to contribute.
- 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)
- 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
- The script scrape_user.py gives an ImportError in Linux since TIA is written in Windows.
- Contributions are welcome to solve the issue!