Correlation based instruments discovery

A correlation based instruments discovery apparatus comprising:

• a processor;
• and
• a memory storing machine readable instructions that when executed by the processor cause the processor to:
• identify content related to instruments for implementing computer products from internal enterprise sources, external enterprise sources, and social media sources;
• extract text from the identified content;
• perform subjectivity, and implicit and explicit feature extraction on the extracted text from the identified content to generate an identified content object graph model;
• receive product specifications related to a computer product that is to be implemented;
• extract text from the product specifications;
• perform subjectivity, and implicit and explicit feature extraction on the text from the product specifications to generate a product specifications object graph model;
• identify first subjects and features in the identified content object graph model
• that correspond to second subjects and features in the product specifications object graph model;
• correlate the first subjects and features in the identified content object graph model to the second subjects and features in the product specifications object graph model, wherein the correlate includes to generate a word arrangement of the first and second subjects and features;
• score correlations produced by the correlating, wherein the score correlations includes to calculate distances between words in the word arrangement;
• and
• select the first subjects and features from the identified content object graph model that include respective predetermined scores for matching the second subjects and features from the product specifications object graph model to identify a subset of the identified content that is related to instruments for implementing the computer product.

A non-transitory computer readable medium having stored thereon machine readable instructions to provide correlation based instruments discovery, the machine readable instructions, when executed, cause a processor to:

• identify content related to instruments for implementing computer products from internal enterprise sources, external enterprise sources, and social media sources;
• extract text from the identified content;
• perform, by a processor, subjectivity, and implicit and explicit feature extraction on the extracted text from the identified content to generate an identified content object graph model;
• receive product specifications related to a computer product that is to be implemented;
• extract text from the product specifications;
• perform subjectivity, and implicit and explicit feature extraction on the text from the product specifications to generate a product specifications object graph model;
• identify first subjects and features in the identified content object graph model that correspond to second subjects and features in the product specifications object graph model;
• correlate the first subjects and features in the identified content object graph model to the second subjects and features in the product specifications object graph model, wherein the correlate includes to generate a word arrangement of the first and second subjects and features;
• score correlations produced by the correlate, wherein the score includes determining a degree of match between the first subjects and features in the identified content object graph model and the second subjects and features in the product specifications object graph model, and wherein the score correlations includes to calculate distances between words in the word arrangement;
• and
• select the first subjects and features from the identified content object graph model that include respective highest scores for matching the second subjects and features from the product specifications object graph model to identify a subset of the identified content that is related to instruments for implementing the computer product.