System and method for detecting undesirable and potentially harmful online behavior

A natural language processing method comprising:

• at least one processor receiving online data from any sources on the internet and processing the online data to determine whether the online data implicates online violence, wherein processing the online data comprises,
• the at least one processor receiving plain text input;
• the at least one processor performing a plurality of functional modules, the plurality of functional modules comprising one or more of a text preparation module, a normalization module, and a correction and transformation module that generate normalized text, corrected text, and transformed text, respectively, wherein normalization comprises the process of transforming the plain text input into a single predetermined canonical form to generate the normalized text, correction comprises the process of revising the normalized text in order to correct misspellings and any other types of intentional and non-intentional errors to generate the corrected text, and transformation comprises the process of revising the corrected text in order to replace, remove or add specific text fragments to generate the transformed text that is optimally phrased for detecting one or more predetermined online behaviors;
• and
• the at least one processor performing online violence detection on the normalized text, the corrected text, and transformed text, including,
• at least one module detecting online violence, wherein the at least one module is comprised of a set of contextual models wherein,
• each contextual model comprises a detection model for detecting a defined single type of online violence;
• each contextual model classifies text as containing or not containing a given type of online violence;
• and
• each contextual model provides a set of processing-related information, comprising a comprehensive record of consecutive steps taken by the model in order to perform the classification, allowing to trace the decision-making process with accuracy to individual rules, expressions and transformations.