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IDENTIFYING NEWS EVENTS THAT CAUSE A SHIFT IN SENTIMENT

  • US 20130290232A1
  • Filed: 04/30/2012
  • Published: 10/31/2013
  • Est. Priority Date: 04/30/2012
  • Status: Abandoned Application
First Claim
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1. A method for identifying news events that cause shifts in sentiments, wherein the news events and sentiments relate to a same topic, the method, comprising:

  • compiling a sentiment feature time series expressing a shift in sentiment;

    compiling a news feature time series expressing popularity/importance of news events;

    extracting news event parameters from the news feature time series;

    correlating the sentiment and news feature time series; and

    identifying from the correlation a news event that caused a shift in sentiment; and

    predicting if a selected news event will cause a future shift in sentiment

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