A New Text Classification Model Based on Contrastive Word Embedding for Detecting Cybersecurity Intelligence in Twitter
Detecting cybersecurity intelligence (CSI) on social media such as Twitter is crucial because it allows security experts to respond cyber threats in advance. In this paper, we devise a new text classification model based on deep learning to classify CSI-positive and -negative tweets from a collectio...
Main Authors: | Han-Sub Shin, Hyuk-Yoon Kwon, Seung-Jin Ryu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/9/1527 |
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