http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10796391-B2

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filingDate 2017-04-21^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2020-10-06^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_11414b86b2cca2c928fbf49116fc96ac
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_84032b44df9904a54ab641cb697d78ee
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publicationDate 2020-10-06^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-10796391-B2
titleOfInvention Systems and methods for correlating comments and sentiment to policy document sub-sections
abstract A text analytics system may ascertain sentiment about multi-sectioned documents and may associate the sentiment with particular sections. The system may include at least one processor configured to scrape the Internet for text data associated with comments expressed by a plurality of individuals about a common multi-sectioned document. The comments may not be not linked to a particular section. The at least one processor may be further configured to analyze the text data in order to determine a sentiment associated with each comment; apply an association analysis filter to the text data in order to correlate at least a portion of each comment with one or more sections of the multi-sectioned document; and transmit for display to the system user a visualization of the sentiment mapped to one or more sections of the multi-sectioned document.
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