2min chapter

Data Skeptic cover image

arXiv Publication Patterns

Data Skeptic

CHAPTER

Engineering Challenges and Topic Clustering of 17,000 Papers

The chapter explores the engineering challenges of clustering and labeling a large number of papers using embedding models and machine learning techniques. It also discusses the use of GPT4 for labeling clusters and analyzes the differences in topic count between industry and academic authors.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode