Visualize ICLR 2022 OpenReview Data

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

Requirements

pip install wordcloud nltk pandas imageio selenium tqdm

download nltk packages

import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('wordnet')
nltk.download('stopwords')

if you got anything wrong when calling webdriver.Edge('msedgedriver.exe'), you can

• Delete msedgedriver.exe since it may only work on my computer (Windows)

• Install Microsoft Edge (Chromium): Ensure you have installed Microsoft Edge (Chromium). To confirm that you have Microsoft Edge (Chromium) installed, go to edge://settings/help in the browser, and verify the version number is Version 75 or later.

• Download Microsoft Edge Driver:

  • Go to edge://settings/help to get the version of Edge.

• Navigate to the Microsoft Edge Driver downloads page and download the driver that matches the Edge version number.

From https://stackoverflow.com/questions/63529124/how-to-open-up-microsoft-edge-using-selenium-and-python

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, but it has 3,407 in total. The full paper list are in follows:

• sources/ICLR-2022.csv
• sources/ICLR-2022.md

Visualization

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