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DarkBERT

                                      

DarkBERT is the first AI language model designed specifically for the Dark Web. A language model is an AI system that understands human language and has a lot of knowledge, which helps it solve many tasks related to language. DarkBERT is especially good at working with the messy and hard-to-understand data found on the Dark Web. Unlike other language models that have trouble with the strange words and different formats on the Dark Web, DarkBERT has been trained to understand this type of content. It improves its skills by using a method called Masked Language Modeling (MLM) on text collected from the Dark Web, using a version of the RoBERTa model.

One big challenge in training DarkBERT is gathering the right data. The company S2W is well-known for its ability to collect and analyze data from the Dark Web, even including hidden or copied websites. After cleaning up the data and removing duplicates, they built a large and useful collection of Dark Web text, totaling 5.83GB.

DarkBERT was built using large existing language models and then trained further with special data from the Dark Web. It is very good at working with unorganized data that is often found on the anonymous web, where it's hard to extract useful information. DarkBERT can also help detect and classify different types of criminal activity on the Dark Web and find important threat information


Click here to see the research paper


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