This repository contains summaries of academic papers related to various fields such as computer science, artificial intelligence, machine learning, neuroscience, psychology, and more.
The goal of this repository is to make it easier for researchers, students, and enthusiasts to quickly understand the key insights, contributions, and findings of a given paper without having to read the entire document. It is also a great resource for individuals who want to stay up-to-date with the latest research in their field of interest.
Each paper summary is located in a separate directory, labeled with the name of the paper. Within each directory, you will find a markdown file named "summary.md" that provides a brief overview of the paper's content, methodology, and conclusions. The summaries are written in a concise and clear manner, making it easy to understand the main points of the paper.
- Install the required packages:
pip install -r requirements.txt
- Clone this repository:
git clone https://github.com/username/research-paper-scraper.git
- Navigate to the cloned repository:
cd research-paper-scraper
To run the script, use the following command:
The script will scrape research papers from the specified website and print summaries of the papers to the console.
You can customize the script by modifying the following variables at the top of the scraper.py file:
WEBSITE: the URL of the website to scrapeNUM_SENTENCES: the number of sentences to include in each summary
The summaries provided in this repository are intended to provide a brief overview of the papers and are not a substitute for reading the original documents. The accuracy and completeness of the information presented cannot be guaranteed, and readers are encouraged to consult the original papers for further details.