Invention Grant
- Patent Title: Identifying trends associated with topics from natural language text
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Application No.: US15144277Application Date: 2016-05-02
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Publication No.: US10157223B2Publication Date: 2018-12-18
- Inventor: Janardan Misra , Shubhashis Sengupta , Sanjay Podder , Robert E. Kress , Ashwin Menon
- Applicant: Accenture Global Solutions Limited
- Applicant Address: IE Dublin
- Assignee: Accenture Global Solutions Limited
- Current Assignee: Accenture Global Solutions Limited
- Current Assignee Address: IE Dublin
- Agency: Harrity & Harrity, LLP
- Priority: IN201641009077 20160315
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
A device may obtain text to be processed to identify a trend associated with a topic included in the text. The text may include a plurality of text sections, associated with the topic, that may be associated with a plurality of temporal intervals. The device may determine a respective context for the topic in each of the plurality of text sections. The device may calculate a first specificity score based on the respective context for the topic for one or more text sections associated with the first temporal interval. The device may calculate a second specificity score based on the respective context for the topic for one or more text sections associated with the second temporal interval. The device may identify a trend associated with the topic based on the first specificity score and the second specificity score, and may provide information that identifies the trend.
Public/Granted literature
- US20170270193A1 IDENTIFYING TRENDS ASSOCIATED WITH TOPICS FROM NATURAL LANGUAGE TEXT Public/Granted day:2017-09-21
Information query