Systems and methods for implementing sentiment analysis of computer code are provided. Developers who write source code may include comments or other natural language artifacts in the source code. These artifacts may be illustrative of current or legacy cybersecurity threats. Systems and methods may mine comments, and/or other code artifacts, for the dual purposes of cybersecurity threat detection and mitigation. Advanced code analytics may be leveraged for a deeper understanding of the sentiments expressed by the artifacts. Such sentiment may include negative sentiments expressed in error code selection and/or descriptions. All information retrieved is preferably human identity agnostic in line with personal data regulation compliance.