METHODS AND SYSTEMS FOR KNOWLEDGE DISCOVERY
In an aspect, provided is a Natural Language Processing (NLP) workflow engine to analyze text. The engine can combine one or more independent NLP components (e.g. Tokenization, Part of Speech Tagging, Named Entity Recognition) into a meaningful processing workflow.
1 . A method of textual analysis comprising:
analyzing text using a processor comprising a workflow engine, wherein said workflow engine comprises at least a thesaurus component, said thesaurus component comprising a structured datafile of words related to a knowledge field;
creating a knowledge fingerprint of the text using said text analysis.
2 . The method of claim 1 , wherein said workflow engine comprises one or more additional components.
3 . The method of claim 2 , wherein the one or more additional components can include one or more of a tokenization component, a sentence boundary detection component, an abbreviation expansion component, a normalization component, a part-of-speech (POS) tagger component, a noun phrase extraction component, a concept extraction component, a named entity recognition component, a relation extraction component, a quantifier detection component, or an anaphora resolution component.
4 . The method of claim 3 , wherein one or more different knowledge footprints are created by said workflow engine.
5 . The method of claim 3 , wherein a different knowledge footprint is created by each component that comprises said workflow engine.
6 . The method of claim 1 , wherein the thesaurus component comprises a compilation of validated concepts representing a field of knowledge or a piece of knowledge organized into the structured datafile of words related to a knowledge field.
7 . The method of claim 1 , wherein said thesaurus component comprises a structured datafile of normalized words related to a knowledge field.
8 . A system for textual analysis comprised of:
a memory; and
a processor operably connected with said memory, wherein said processor is configured to,
analyze text using a workflow engine, wherein said workflow engine comprises at least a thesaurus component, said thesaurus component comprising a structured datafile of words related to a knowledge field stored in said memory; and
create a knowledge fingerprint of the text using said text analysis.
9 . The system of claim 8 , wherein said workflow engine comprises one or more additional components.
10 . The system of claim 9 , wherein the one or more additional components can include one or more of a tokenization component, a sentence boundary detection component, an abbreviation expansion component, a normalization component, a part-of-speech (POS) tagger component, a noun phrase extraction component, a concept extraction component, a named entity recognition component, a relation extraction component, a quantifier detection component, or an anaphora resolution component.
11 . The system of claim 10 , wherein one or more different knowledge footprints are created by said workflow engine.
12 . The system of claim 10 , wherein a different knowledge footprint is created by each component that comprises said workflow engine.
13 . The system of claim 8 , wherein the thesaurus component comprises a compilation of validated concepts representing a field of knowledge or a piece of knowledge organized into the structured datafile of words related to a knowledge field.
14 . The system of claim 8 , wherein said thesaurus component comprises a structured datafile of normalized words related to a knowledge field.
15 . A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions for textual analysis stored therein, said computer-readable program code portions comprising:
a first portion for analyzing text using a processor comprising a workflow engine, wherein said workflow engine comprises at least a thesaurus component, said thesaurus component comprising a structured datafile of words related to a knowledge field; and
a second portion creating a knowledge fingerprint of the text using said text analysis.
16 . The computer program product of claim 15 , wherein said workflow engine comprises one or more additional components.
17 . The computer program product of claim 16 , wherein the one or more additional components can include one or more of a tokenization component, a sentence boundary detection component, an abbreviation expansion component, a normalization component, a part-of-speech (POS) tagger component, a noun phrase extraction component, a concept extraction component, a named entity recognition component, a relation extraction component, a quantifier detection component, or an anaphora resolution component.
18 . The computer program product of claim 17 , wherein one or more different knowledge footprints are created by said workflow engine.
19 . The computer program product of claim 17 , wherein a different knowledge footprint is created by each component that comprises said workflow engine.
20 . The computer program product of claim 15 , wherein the thesaurus component comprises a compilation of validated concepts representing a field of knowledge or a piece of knowledge organized into the structured datafile of words related to a knowledge field.
21 . The computer program product of claim 15 , wherein said thesaurus component comprises a structured datafile of normalized words related to a knowledge field.