Use of sentiment analysis to assess trust in a network

A method comprising:

• performing, by a computing system and based on information collected about a specific network entity from among a plurality of network entities in a computer network, a sentiment analysis involving user comments associated with the specific network entity, wherein performing the sentiment analysis includes training a machine learning model to predict sentiment from information about network entities included within the plurality of network entities, and applying the machine learning model to predict the sentiment for the specific network entity from the information collected about the specific network entity;
• determining, by the computing system, sub-scores for each of a plurality of characteristics of the specific network entity, wherein determining the sub-scores includes determining a sub-score associated with the sentiment analysis;
• determining, by the computing system and based on the sub-scores for each of the plurality of characteristics of the specific network entity, a level of trust for the specific network entity;
• and
• performing an action, by the computing system and based on the level of trust for the specific network entity, wherein performing the action includes communicating with a device on the computer network to modify operations within the computer network.

Non-transitory computer-readable media comprising instructions executable by processing circuitry of a computing system to:

• perform, based on information collected about a specific network entity from among a plurality of network entities in a computer network, a sentiment analysis involving user comments associated with the specific network entity, wherein to perform the sentiment analysis, the processing circuitry is configured to train a machine learning model to predict sentiment from information about network entities included within the plurality of network entities, and apply the machine learning model to predict the sentiment for the specific network entity from the information collected about the specific network entity;
• determine sub-scores for each of a plurality of characteristics of the specific network entity, wherein to determine the sub-scores, the processing circuitry is further configured to determine a sub-score associated with the sentiment analysis;
• determine, based on the sub-scores for each of the plurality of characteristics of the specific network entity, a level of trust for the specific network entity;
• and
• perform an action based on the level of trust for the specific network entity, wherein to perform the action, the processing circuitry is further configured to communicate with a device on the computer network to modify operations within the computer network.