Invention Grant
- Patent Title: Identifying categories within textual data
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Application No.: US16162225Application Date: 2018-10-16
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Publication No.: US10740377B2Publication Date: 2020-08-11
- Inventor: Charles E. McManis, Jr. , Douglas A. Smith
- 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
- Agency: Zilka-Kotab, P.C.
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/35 ; G06F40/30 ; G06F40/216 ; G06F40/263 ; G06F16/38 ; G06F16/31
Abstract:
A computer-implemented method according to one embodiment includes identifying a plurality of documents associated with a predetermined subject, where each of the plurality of documents contains textual data, analyzing the textual data of each of the plurality of documents to identify one or more categories within the plurality of the documents, and returning the one or more categories identified within the plurality of the documents.
Public/Granted literature
- US20190121905A1 IDENTIFYING CATEGORIES WITHIN TEXTUAL DATA Public/Granted day:2019-04-25
Information query
