Invention Grant
- Patent Title: Systems and methods for determining crowd sentiment based on unstructured data
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Application No.: US15829756Application Date: 2017-12-01
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Publication No.: US10692094B2Publication Date: 2020-06-23
- Inventor: Steven Batiste
- Applicant: Steven Batiste
- Applicant Address: US CA Woodland Hills
- Assignee: Steven Batiste
- Current Assignee: Steven Batiste
- Current Assignee Address: US CA Woodland Hills
- Agency: Cotman IP Law Group, APLC
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06Q30/02 ; G06F16/35 ; G06Q10/00

Abstract:
A systems and methods for determining crowd sentiment based on unstructured data are presented. The system includes scrapers that continuously scour a computer network to obtain one or more published documents and stores the documents in a document repository. The system further processes each of the documents through a filter (or percolator) to extract one or more system keywords, links and statistical information such as number of occurrences of the system keyword, rate of change and direction of change for each system keyword and crowd sentiment for the system keyword. The system further includes a keyword cache system for maintaining the system keywords so that up to date crowd sentiment is available upon demand.
Public/Granted literature
- US20180157742A1 SYSTEMS AND METHODS FOR DETERMINING CROWD SENTIMENT BASED ON UNSTRUCTURED DATA Public/Granted day:2018-06-07
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