Abstract: A method of analyzing sentiments includes receiving one or more strings of text, identifying sentiments related to a first topic from the one or more strings of text, and assigning a sentiment score to each of the sentiments related to the first topic, where the sentiment score corresponds to a degree of positivity or negativity of a sentiment of the sentiments. The method further includes calculating an average sentiment score for the first topic based on the sentiment score for each of the sentiments related to the first topic, determining a percentile for the first topic based on a frequency of sentiments related to the first topic, where the percentile for the first topic is determined with respect to a maximum frequency of sentiments related to one or more other topics, and computing an X-Score based on the average sentiment score and the percentile of the first topic.
Type:
Application
Filed:
May 7, 2019
Publication date:
January 2, 2020
Applicant:
Language Logic d.b.a. Ascribe
Inventors:
Rick Kieser, Charles Baylis, Serge Luyens