Twitter Intelligence

A project written in Python to twitter tracking and analysis without using Twitter API.

Prerequisites

• This project is a Python 3.x application.
• The package dependencies are in the file requirements.txt. Run that command to install the dependencies.



pip3 install -r requirements.txt

Database

• SQLite is used as the database.
• Tweet data are stored on the Tweet, User, Location, Hashtag, HashtagTweet tables.
• The database is created automically.

Usage Example

Application work view:

• Get help

 python3 tracking.py -h 

• Get tweets by username



 python3 tracking.py --username "HaberSau" 

• Get tweets by query



 python3 tracking.py --query "sakarya" 

• Get tweet at a specific date range



 python3 tracking.py --username "HaberSau" --since 2015-09-10 --until 2015-09-12 --maxtweets 10 

• If you get location of tweets, add --location "True" param but application will be slower due to new response times.
  
  

   python3 tracking.py --query "sakarya" --location "True"

• If you want you can run the application on the docker.



docker build . -t twitter-intelligence




docker run -it -p 5000:5000 --rm -v "images:/usr/src/app/images" twitter-intelligence

Analysis

analysis.py performs analysis processing. User, hashtag and location analyzes are performed.

python3 analysis.py -h

python3 analysis py --location

location analysis runs through address http://localhost:5000/locations

You must write Google Map Api Key in setting.py to display google map.

GOOGLE_MAP_API_KEY='YOUR_GOOGLE_MAP_API_KEY'

python3 analysis.py --hashtag

python3 analysis.py --user

Graphical User Interface

If you want run gui application, you should change "#PyQt5==5.11.2" to "PyQt5==5.11.2" in requirements.txt and you can run the that command.

pip3 install -r requirements.txt

socialgui.py used for gui application