CPC H04L 63/102 (2013.01) [G06N 20/00 (2019.01); H04L 41/16 (2013.01); H04L 63/1408 (2013.01); H04L 63/1425 (2013.01); H04L 63/20 (2013.01)] | 16 Claims |
1. A method comprising:
performing, by a computing system and based on information collected about a network entity in a computer network, a sentiment analysis associated with the network entity, wherein performing the sentiment analysis includes:
processing the information collected about the network entity in a pipeline that translates raw text into clean text suitable for natural language processing, and
applying a machine learning model to the clean text to predict sentiment associated with the network entity;
determining, by the computing system and based on the sentiment analysis, a trust score for the network entity, wherein determining the trust score includes:
determining a prerequisite sub-score for the network entity based on one or more prerequisites for the network entity,
determining a variable factor sub-score for the network entity based on one or more variable factors for the network entity, and
determining the trust score based on the prerequisite sub-score and the variable factor sub-score; and
performing an action, by the computing system and based on the trust score for the network entity, wherein performing the action includes communicating with a device on the computer network to modify operations within the computer network.
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