ContextMiner: Mining Contextual Features for Conceptualizing Knowledge in Security Texts

ContextMiner: Mining Contextual Features for Conceptualizing Knowledge in Security Texts

This paper presents <italic>ContextMiner</italic>, a novel natural language processing (NLP) framework to automatically capture contextual features for the purpose of extracting meaningful context-aware phrases from cybersecurity unstructured textual data. The framework utilizes basic at...

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Bibliographic Details
Main Authors: Luis Felipe Gutierrez, Akbar Namin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Dependency parsing
feature extraction
machine learning
natural language processing
word embeddings
Online Access:https://ieeexplore.ieee.org/document/9857853/

Internet

https://ieeexplore.ieee.org/document/9857853/

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