Methods for Information Extraction, Search, and Structured Representation of Text Data

Patent №

US 10,146,751

Granted

2018-12-04

Filed 2015

Owner

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

14961882

System and methods for creating structured or semi-structured representations of information extracted from unstructured text data sources are described. In some embodiments, without requiring a predefined target data structure, the methods identify the grammatical and semantic attributes and context information in a text content, and create object-properties association data as knowledge and information extracted from the unstructured data, and represent such information in a structured or semi-structured format to facilitate search and trend analysis. In some other embodiments, the methods identify the types of information contained in the unstructured data, and for a pre-defined target information type, the methods identify the context and content of the portion of the text that represents the target information type, and extract the text, attach a tag or label to the extracted text, and store or display the data in a database table format or xml format for further pattern and trend analysis. Applications of the present system and methods include effectively analyzing user-generated contents such as customer feedback, reviews, comments, technical support forum messages, resume or job description documents, and other types of text contents.

AI classification

Natural language1.00
Machine learning1.00
Planning1.00
AI hardware1.00
Knowledge representation0.99
Vision0.52
Speech0.02
Evolutionary computation0.00
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