jackaduma/SecBERT
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
This project offers specialized language models for cybersecurity professionals. It takes in text from cybersecurity reports and articles, processing it to understand the unique language of the domain. The output helps improve tasks like naming entities, classifying text, and comprehending the semantic meaning within cybersecurity documents. Security analysts, threat intelligence researchers, and incident response teams can use this to enhance their text analysis.
208 stars. No commits in the last 6 months.
Use this if you need to analyze large volumes of unstructured text data specifically related to cybersecurity, such as threat intelligence reports or vulnerability descriptions.
Not ideal if you are working with general-purpose text or text outside the cybersecurity domain, as it is highly specialized and may not perform as well.
Stars
208
Forks
35
Language
Python
License
MIT
Category
Last pushed
Apr 28, 2023
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