As of late 2023, all methods to obtain Twitter data require authentication. This was not the case when the project was built. Hence, this feature is not supported now. But all the methods remain exactly same. The authentication feature can be added in the future (Open a PR for the same if interested).
This is a project done under IEEE NITK where the goal is to identify the irrelevant tweets with respect to a particular trend and removing them from the User's feed. It helps in keeping the feed clean and improves the User experience while using the application.
An external twitter scraper is being which scrapes the tweets using Golang. The steps to install it are as follows:
Install Golang from the website
For enabling dependency tracking of the code you have to create a go.mod file. [path-to-module] needs to be the location of a remote repository from where Go can download the source code.
Following are the steps to create [path-to-module].
- Create a fork of the repository https://github.com/n0madic/twitter-scraper
- Typically, it's of the format:
<prefix>/<descriptive-text>
Example: github.com/
- Here it is <github.com/your-username/twitter-scraper>.
- Now, run the command
go mod init [path-to-module]
go get -u github.com/n0madic/twitter-scraperClone the repository using the HTTPS key:
git clone https://github.com/helios2003/Twitter-Feed-Filter.git
Or you can fork the repository and git clone it from there.
Navigate to the root directory and do the following:
python -m venv venv
venv/Scripts/activate
pip install -r src/python/requirements.txt
python -m venv venv
source venv/bin/activate
pip install -r src/python/requirements.txt
Navigate to flask directory for how to run the web app.