Q: What is the ML model?
A: We use a combination of AI techniques that analyze document content and suggest descriptive tags to users during manual classification or during an automated scan. These AI techniques are based on Natural Language Processing (NLP) and neural networks. The software has been trained for more than 3 years and the package of information that is distributed to our servers containing this knowledge is called the model.
Q: How can I manually modify a document or email with GV Classification?
A: The agent software gives a list of the available compliance, classification, and possible categorization tags active within your organization. When you choose the relevant ones for the document or email in creation, the software will modify and track that document or email in the future. If staff remove the automatic visual tags, the document continues to keep the metadata tags and the centralized audit log keeps a record of the classification.
Q: How does the ML model help with manual classification?
A: A staff member classifies a document or email with the classification agent by selecting tags for compliance and classification. We also provide a suggested set of tags based on the actual content of the document or email. Staff can choose to use suggested tags or set completely different ones. If they select different tags the GV Classification software evaluates its own knowledge of the document and decides to either learn from the new tags or to generate an audit log if we believe the staff member has made a mistake. This allows for training and identifies staff errors, but crucially enables the GV Classification software to learn from expert users.
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