What it does
Generates a compact overview of what are important cyber security topics
How we built it
We used python with word2vec and k-means clustering to produce categories of topics. We display the the data using the simple webserver Flask
Challenges we ran into
Processing the data to get usefull information, dealing with noisy data.
Accomplishments that we're proud of
The effectiveness of our tool.
What we learned
Unsupervised learning is really important to find out what information is hidden in your data
What's next for Automatic topic inference for cyber security
Polishing the data processing pipeline and presenting the data in even simpler and better interface