jairNeto/warren_buffet_letters
Repository using NLP techniques such as Transformers, Frequency analysis, document similarity at Warren Buffets texts.
This helps investors, financial analysts, and researchers understand key themes and sentiments in Warren Buffett's annual letters to Berkshire Hathaway shareholders. It processes the text of these letters to reveal insights like emotional tone, frequently discussed topics, and which letters are most similar to each other. The output includes summaries, sentiment scores, and lists of related documents, useful for anyone studying Buffett's investment philosophy.
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Use this if you want to quickly extract insights, understand sentiment trends, or find connections within Warren Buffett's historical shareholder letters.
Not ideal if you're looking for a tool to analyze a broad range of company reports or real-time market news, as it's specifically designed for Buffett's letters.
Stars
39
Forks
16
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 31, 2021
Commits (30d)
0
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