A large variety of security information exists in unstructured and natural language which makes it difficult to process automatically. In this context NLP methods are one way to overcome this problem and process unstructured information into a structured representation. However, the application of NLP methods to process security information is rarely used and misses needed labeled data sets for training. The goal of this thesis, is to develop a toolbox by combining appropriate NLP approaches and evaluate them by converting unstructured into structured security information.
Mobirise website software - More info