Show HN: 40k HN comments mentioning books, extracted using deep learning (hacker-recommended-books.vercel.app)

Article summary

The article presents a list of books mentioned in 40,000 Hacker News comments, extracted using deep learning. The list includes a variety of books, with 'Thinking, Fast and Slow' by Daniel Kahneman being one of the most mentioned. The comments also discuss the ranking and search functionality of the book list. The project aims to provide a comprehensive set of book recommendations from Hacker News.

Main themes

• book recommendations
• NLP techniques
• search functionality
• ranking system
• user interface
• Hacker News comments
• deep learning
• book discovery

What commenters say

• The current ranking system is simple and could be improved with more advanced NLP techniques.
• The search functionality needs to be improved to handle single-word titles and author searches.
• Some commenters find the list to be similar to an Amazon list and suggest adding more metrics to make it more useful.
• The project is a great application of NLP and can be useful for finding book recommendations.
• The labeling method used to train the model is interesting and could be improved with more data.
• The project's results are impressive and can be used to explore different genres and topics.
• Some commenters have suggestions for improving the user interface and experience.
• The project has the potential to be a valuable resource for book lovers and could be expanded to include more features.