lachlandeer/central-bank-nlp

Resources for using NLP on central bank communications

Central Bank NLP

A resource for natural language processing central bank communications. I hope it is useful. Please submit an issue if it is not or email me john.rieth@outlook.com

I have created word vectors using fastText from the usa-central-bank/fomc-statements folder. the vectors are text vectors + bin

Natural Language Processing

The notebook Sentiment Analysis R is where I am learning how to do text mining in R with the central bank text data. The spacy.ipynb notebook is for playing around with the spacy python library.

Natural Language Generation

The folder nlg holds examples of natural language generation using the tools rita and markovify.

Similar Work

• FOMC Communication Policy and the Accuracy of Fed Funds Futures
• Fedspeak: Who Moves U.S. Asset Prices?

Resources

• Text Mining with R by Julia Silge and David Robinson

• Speech and Language Processing

• [A Primer on Neural Network Models for Natural Language Processing] (http://u.cs.biu.ac.il/~yogo/nnlp.pdf)

• A Roadmap towards Machine Intelligence

• Reading Wikipedia to Answer Open-Domain Questions

• Simple and Effective Multi-Paragraph Reading Comprehension

• SQuAD: 100,000+ Questions for Machine Comprehension of Text

• Teaching Machines to Read and Comprehend

• Bidirectional Attention Flow for Machine Comprehension

• Search Engines Information Retrieval in Practice

• Introduction to Information Retrieval

• Information Retrieval

• Foundations of Statistical Natural Language Processing