stelemate/BERT-for-Cybersecurity-NER
An implementation of BERT for cybersecurity named entity recognition
This project helps cybersecurity analysts and threat intelligence researchers automatically extract critical information from unstructured text, like incident reports or security articles. It takes raw text in Chinese or English and identifies specific cybersecurity entities, such as software names, vulnerabilities, or attack techniques. The output is a structured list of these recognized entities, making it easier to analyze and categorize cybersecurity data.
No commits in the last 6 months.
Use this if you need to quickly identify and extract key cybersecurity-related entities from large volumes of text data in Chinese or English.
Not ideal if your primary need is for a language other than Chinese or English, or if you need to identify entity types beyond what's typically found in cybersecurity contexts.
Stars
26
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 13, 2020
Commits (30d)
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