Natural Language Processing of Financial Disclosures

Develop a user friendly application to translate a large set of documents into English and to perform topic analysis on them.

Objectives

Create a windows application that can perform various natural language processing on a batch of documents. The application should be able to translate non-English documents into English and perform topic analysis, allowing for multiple topics within a document.

Motivations

Financial disclosures are complex documents, and it is time-consuming to process the information contained in them for large data analysis. This project will be used to extract information from financial disclosures for academic research, but could be modified to analyze information quickly for algorithmic trading.

Qualifications

Minimum Qualifications:
  • Knows how to use an API
  • Good communication and collaborations skills

Preferred Qualifications:
  • Familiarity with deep-translator, bertopic, scikit-learn, spaCy, genism, and NLKT


Details

Project Partner:

Terrence Blackburne

NDA/IPA:

No Agreement Required

Number Groups:

1

Project Status:

Accepting Applicants

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