Chapter 11 Natural Language Processing: An Application in Finance

Description

With natural language processing methods, analysts now have access to new data from text, for example. It is possible to program an algorithm and synthesize corporate financial reports. It is also possible to have algorithms read industry patents and extract quantitative information from them. This is called unstructured data. In this session, we will use some examples of unstructured data to show their usefulness for issues of interest to international business.

Concepts discussed :

  • 1 natural language process

  • 2 polarity analysis

  • 3 sentiment analysis

  • 4 analysis of institutional dimensions using unstructured data

Pre-Session Activities/Resources

Session Activities/Resources

  • Warin, Thierry. 2018a. “Connectivity and Closeness Among International Financial Institutions: A Network Theory Perspective.” International Journal of Comparative Management 1 (3): 225-54. https://doi.org/10.1504/IJCM.2018.094479.

Post-Session Activities/Resources

General Resources