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Visualize ICLR 2022 OpenReview Data

ICLR 2022 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

Requirements

  • Install requirements
pip install wordcloud nltk pandas imageio selenium tqdm
  • Download nltk packages for language processing
import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('wordnet')
nltk.download('stopwords')

Crawl Data

  1. Run crawl_paperlist.py to crawl the list of papers (~0.5h).

Paper List (3,407 submission in total)

crawl_paperlist.py only crawls 3,000 papers for some errors, but it has 3,407 submissions in total. The full paper list are in follows:

Visualization

Keywords and Title

  • Keywords Frequency The top 50 common keywords (uncased) and their frequency:

  • Keywords Cloud The word clouds formed by keywords of submissions show the hot topics including deep learning, reinforcement learning, representation learning, graph neural network, etc.

  • Title Keywords Frequency The top 50 common title keywords (uncased) and their frequency:

  • Title Keywords Cloud The word clouds formed by keywords of submission titles:

Acknowledgment

Inspired by this repo: https://github.com/evanzd/ICLR2021-OpenReviewData

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