This blog is written by students at the University of Hong Kong (HKU). It serves two purposes: First, to document students' reflections about their learning progress. Second, to showcase some of the results students have obtained as part of their projects.

The blog post contents do not necessarily reflect the opinion(s) of the course instructor or HKU. Please keep in mind that the contents of the blog are for academic purposes only.

The topics of the blog posts are about text analytics and natural language processing (NLP) in finance and fintech. At any rate, keep in mind that this blog is "work in progress." The blog is updated throughout the course as new blog posts become available.

To view all blog posts, click on "all posts" below. The list of blog posts below only shows the most recent posts.

Names of student groups:

• TBD

The source code of this blog is available on GitHub.

Disclaimer: The views and opinions expressed in this blog are those of the individual student authors and do not necessarily reflect the official position of the University of Hong Kong, HKU Business School, or the course instructor. All content is produced for academic and educational purposes only.

This blog documents student learning experiences in text analytics and NLP applied to finance. In particular:

• Not investment advice. References to trading strategies, portfolio performance, or backtesting results are purely illustrative academic exercises. They should not be construed as financial, investment, or trading advice. Past performance discussed in these posts is not indicative of future results. Readers should conduct their own research and consult qualified professionals before making any financial decisions.
• Data collection. Students worked with publicly available data sources, official APIs, and licensed datasets. Where posts describe challenges encountered during data collection (e.g., access restrictions or rate limiting), these are documented as learning experiences, not as instructions for circumventing website protections or terms of service.
• Third-party tools and services. References to specific software, APIs, platforms, or LLM providers are for documentation purposes only and do not constitute endorsement by HKU or the course instructor.
• Public figures, companies, and markets. Where posts analyze public statements by political figures, company earnings calls, or financial instruments, this is done strictly from a quantitative and market-impact perspective using established academic methods. Such analysis does not constitute political commentary, advocacy, endorsement, criticism, or recommendation of any entity, position, or security.
• Geopolitical references. Some projects involve detecting geopolitical events as market-moving factors. Any references to countries, conflicts, or political events are made solely in the context of financial data analysis.

While reasonable efforts have been made to ensure accuracy, the analyses presented may contain errors or limitations inherent to coursework.