Systems and methods for determining crowd sentiment based on unstructured data
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.
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