Invention Grant
- Patent Title: Weather-based natural language text processing
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Application No.: US15607694Application Date: 2017-05-30
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Publication No.: US10558695B2Publication Date: 2020-02-11
- Inventor: Shilpi Ahuja , Sheng Hua Bao , Rashmi Gangadharaiah
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Jordan T. Schiller
- Main IPC: G06F17/27
- IPC: G06F17/27 ; G06F16/34 ; G06F19/00

Abstract:
Relationship extraction between descriptors in one or more lists of weather condition descriptors, and adverse event descriptors within unstructured data sources using natural language processing. Medical condition descriptor may be a descriptor that may be used to further extract relationships between weather condition descriptors and adverse event descriptors. A data object is generated, according to a data model, based on the extracted relationships between the descriptors. A set of candidate unstructured documents containing the extracted relationship between the descriptors is retrieved and filtered by selecting unstructured documents that include a precautionary measure descriptor. The filtered precautionary measure descriptors are presented to a user in a summarized message to a user device.
Public/Granted literature
- US20180349326A1 WEATHER-BASED NATURAL LANGUAGE TEXT PROCESSING Public/Granted day:2018-12-06
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