TP Big Data

This work able me to predict the game of the 2018 on PS4. Using Big Data methodologies.. Have Fun. https://github.com/antoineFrau/video-game-analyse

Requirements

Use command pip3 install to install thoses libraries

python==3.7 pip==3

tweepy==3.7.0

pytrends==4.4.0

textblob==0.15.2

matplotlib==3.0.2

numpy==1.15.4

pandas==0.23.4

You will need Twitter API account to use this project.

Change the line 9 to 12 in main.py.

consumer_key = "YOUR_KEY_HERE"
consumer_secret = "YOUR_KEY_HERE"
access_token = "YOUR_KEY_HERE"
access_token_secret = "YOUR_KEY_HERE"

Additionnal informations

Everything here has already been generated, if you want to regeneraet the data, you can run main.py, will get absolutly needed informations in the result.json like the keyword for search prupose of the game and the release date. Then it will generate all data in a specific folder for each game.

Finaly if you want to generate graphs you can run graphics.py.

Add a game

If you want to add a game or update one juste go to result.json and modyfy where it's write HERE :

"game_name_HERE": {
    "release_date": "YYYY-MM-DD HERE",
    "nb_tweets": 0,
    "keyword": "Game Name HERE",
    "sentiment": [],
    "trends": {
        "start_at": "YYYY-MM-DD HERE",
        "end_at": "YYYY-MM-DD HERE",
        "cities": {},
        "evolutions": {}
    }
}

And don't forget about the line 10 of graphics.py, add or modify the list of keys.

keys = ["game_name_HERE"]

Author

Antoine Frau - Master 1 Développement Full-Stack.

License

This project is licensed under the MIT License - see the LICENSE file for details