Library
Chapter 10
Text Feature Engineering
Curated summaries of the key literature behind this chapter — the findings, the methods, and how to put them to work.
20 referenced in this chapter
32 further reading
This chapter Library is for Research-to-Production students
R2P students unlock curated summaries of every key paper behind this chapter — the core findings, the methods, and how to apply them — plus resources we keep adding over time.
FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
Giving Content to Investor Sentiment: The Role of Media in the Stock Market
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
LSTM can solve hard long time lag problems
The Probabilistic Relevance Framework: BM25 and Beyond
plus 47 more references inside