Analyzing SEC filings with Transformers for fun and profit

Julien Simon
Dec 16, 2021

In this video, I show you how to:

  • easily download SEC filings with a bespoke AWS SDK,
  • process and break down filings into individual text sections,
  • extract insights using Hugging Face models for sentiment analysis, emotion detection, and summarization.

⭐️⭐️⭐️ Don’t forget to subscribe to be notified of future videos ⭐️⭐️⭐️

Blog post: https://aws.amazon.com/blogs/machine-learning/create-a-dashboard-with-sec-text-for-financial-nlp-in-amazon-sagemaker-jumpstart/

SDK: https://github.com/aws/sagemaker-jumpstart-industry-pack

Notebooks: https://gitlab.com/juliensimon/huggingface-demos/-/tree/main/sec-filings

New to Transformers? Check out the Hugging Face course at https://huggingface.co/course

Sign up to discover human stories that deepen your understanding of the world.

Free

Distraction-free reading. No ads.

Organize your knowledge with lists and highlights.

Tell your story. Find your audience.

Membership

Read member-only stories

Support writers you read most

Earn money for your writing

Listen to audio narrations

Read offline with the Medium app

Julien Simon
Julien Simon

Responses (1)

What are your thoughts?

Bravo! I can't wait to try out some of this at work. It so happens I have a task to score MDAs as low or high risk (training on bankruptcy filings history). Using Tfidf transforms get's you to just under AUC 80, I need higher.