leolle/deep_learning
projects about NLP knowledge graph, web crawling, word embedding, entity&relation extraction.
This project helps financial analysts and investment professionals extract key information from large volumes of financial text. It takes raw text like news articles, company filings, and research reports, and transforms it into structured data such as identified entities (companies, people, events), their relationships, and relevant keywords. The goal is to assist with tasks like smart stock selection, event-driven trading strategies, and building company knowledge graphs.
No commits in the last 6 months.
Use this if you need to automatically identify and link financial entities and events within unstructured text to support investment research and decision-making.
Not ideal if your primary need is general-purpose natural language processing outside of the financial domain or if you prefer pre-built, off-the-shelf solutions for basic text analysis.
Stars
13
Forks
8
Language
Jupyter Notebook
License
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Category
Last pushed
Dec 08, 2022
Commits (30d)
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