FilterPaper

FilterPaper is a Python tool that helps researchers stay up-to-date with academic literature by filtering RSS feeds from scientific journals based on similarity to their existing library of papers. This sends a message to Slack with the new papers.

Features

• Filters papers from RSS feeds using semantic similarity
• Compares new papers against your existing BibTeX library
• Caches processed entries to avoid duplicates
• Sends notifications to Slack
• Supports multiple journal RSS feeds
• Configurable similarity threshold

Installation

1. Installation

git clone https://github.com/nctrl-lab/filter-paper.git
cd filter-paper
pip install .

2. Run

filter-paper --slack

• If you don't have a Slack webhook URL, you will be prompted to enter one.
• The webhook URL will be cached in your system keyring, so you don't need to enter it again.
• If you don't want to send a message to Slack, you can run filter-paper without the --slack flag.

3. Add more journals You can add more journals to the PAPERS dictionary in filter_paper/constants.py.