Method and system for key phrase extraction and generation from text

A system of combining supervised and unsupervised learning of natural language processing to extract keywords from text in natural language processing comprising:

• a cluster computing network with one or more communicatively coupled nodes;
• a user interface;
• a knowledge engine;
• a text processing engine;
• an input processing engine;
• identified candidate repository;
• at least one processor;
• and
• at least one memory unit operatively coupled to at least one processor communicatively coupled over the cluster computing network and having instructions stored thereon that, when executed by the at least one processor, cause the at least one processor to:
• receive, through the one or more communicatively couple notes associated with the cluster computing network, at least one entity into the input processing engine;
• convert, through the at least one processor, the at least one entity into a standard document object;
• parse, through the text processing engine, the standard document object into at least one of a sentence and a token;
• select, through a candidate identification engine, one or more right candidates from at least one of the sentence and the token to be ranked;
• assign, through the at least one processor, at least one score to the one or more right candidates;
• rank, through a graph based ranking engine associated with the at least one—processor, the one or more right candidates;
• create, through the identified candidate repository, a connected graph between the ranked one or more right candidates;
• and
• assign, through a phrase embedding engine, an edge weight to at least one edge between a right candidate and another right candidate.