| CPC G06F 40/284 (2020.01) [G06F 40/30 (2020.01)] | 30 Claims |
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1. A method for detecting an information operations campaign, the method comprising:
retrieving, via a processor, a first neural network language model including a natural language model trained on a first dataset;
modifying the first neural network language model, via transfer learning and based on a second dataset, to produce a second neural network language model;
receiving, via the processor, social media post data associated with a social media post;
extracting, via the processor, a plurality of features from the social media post data;
tokenizing, via the processor, the plurality of features to produce at least one token including a value;
generating, using the second neural network language model, a prediction score for the at least one token;
when the prediction score exceeds a first threshold value, generating, via the processor, a threat warning including a representation associated with at least one of the social media post or an account associated with the social media post; and
when the prediction score does not exceed the first threshold value and does exceed a second threshold value, generating the threat report and issuing the threat warning to an analyst.
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