This python script helps you analyse the level of engagement of people with a certain topic by plotting a graph of the number of tweets containing the given keywords for each day since a given date. The script uses the python twitter API wrapper tweepy to fetch the data and matplotlib to graph it.
Open the terminal and run the following commands
sudo apt install python3 pip
pip install python-dotenv
Clone this repository by openning the terminal and run the following command
git clone https://github.com/elgamalsalman/twitter-trends-analyser
Then you need to create and fill the .env file with your personal twitter developer account information
cp /twitter-trends-analyser/template.env /twitter-trends-analyser/.env
nano /twitter-trends-analyser/.env
The twitter-trends-analyser takes no command-line arguments, however it will ask the user for input.
In order to run the script run the following command
python3 /twitter-trends-analyser/src/twitter-trends-analyser.py
This is a sample run querying the number of tweets about the famous Egyptian football player Mohamed Salah who plays in liverpool football club, the query is from the 24th of October 2022 to the 29th of the same month.
This is the input given to twitter-trends-analyser
input the keywords to look for seperated by spaces: salah
input the start time (YYYY-MM-DD): 2022-10-24
input the name of the file to save the plot to: salah.png
and this is the resulting plot
Notice the peaks on the 26th and the 29th, these agree with real world data as liverpool football club had matches on both of these days.