shaohua0116/ICLR2020-OpenReviewData
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
This project offers a pre-crawled dataset and visualizations of ICLR 2020 OpenReview submissions. It provides insights into paper ratings, reviewer feedback, popular keywords, and author statistics. Researchers, PhD students, and conference organizers can use this to understand submission trends and evaluate their own paper's standing.
462 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or academic wanting to analyze ICLR 2020 paper submission trends, understand reviewer behavior, or benchmark your own paper's potential acceptance.
Not ideal if you need live data beyond ICLR 2020 or want to analyze specific details not covered in the pre-crawled dataset, as it requires setting up web crawling tools.
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462
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 25, 2019
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