Abstract: A system and method combining supervised and unsupervised natural language processing to extract keywords from text in natural language processing, the method includes receiving, through a processor, one or more entities through an input processing unit and converting the one or more entities into a standard document object. Further, parsing the standard document object through a text processing engine into one or more of a sentence and a token and selecting through a candidate identification engine one or more right candidates to be ranked. Further, assigning one or more scores to the one or more right candidates, ranking the one or more right candidates through a graph based ranking engine, creating a connected graph between the ranked one or more right candidates and assigning, through a phrase embedding engine, an edge weight to one or more edges between a right candidate and another right candidate.

Abstract: A system and method combining supervised and unsupervised natural language processing to extract keywords from text in natural language processing, the method includes receiving, through a processor, one or more entities through an input processing unit and converting the one or more entities into a standard document object. Further, parsing the standard document object through a text processing engine into one or more of a sentence and a token and selecting through a candidate identification engine one or more right candidates to be ranked. Further, assigning one or more scores to the one or more right candidates, ranking the one or more right candidates through a graph based ranking engine, creating a connected graph between the ranked one or more right candidates and assigning, through a phrase embedding engine, an edge weight to one or more edges between a right candidate and another right candidate.