Identification, Extraction and Transformation of Contextually Relevant Content

A method of identifying, extracting and transforming contextually relevant portions of electronically stored items, comprising:

• receiving a search query;
• calculating a probability, for each of a plurality of electronically stored items, that the stored item is relevant to the search query using a classification model, the plurality of electronically stored items stored in a source platform;
• identifying stored items having a calculated probability greater than or equal to a threshold probability;
• determining contextually relevant portions of the identified stored items using a contextual model;
• extracting the determined contextually relevant portions of the identified stored items;
• transforming the extracted contextually relevant portions of the identified stored items into a target platform;
• and
• providing an output of the extracted contextually relevant portions of the identified stored items in the target platform.

A computer storage media storing computer-readable instructions that when executed cause a computing device to:

• receive a search query;
• calculate a probability, for each of a plurality of electronically stored items, that the stored item is relevant to the search query using a classification model, the plurality of electronically stored items stored in a source platform;
• identify stored items having a calculated probability greater than or equal to a threshold probability;
• determine contextually relevant portions of the identified stored items using a contextual model;
• extract the determined contextually relevant portions of the identified stored items;
• transform the extracted contextually relevant portions of the identified stored items into a target platform;
• and
• provide an output of the extracted contextually relevant portions of the identified stored items in the target platform.