Sensors and sentiment analysis for rating systems

Abstract

A processor-implemented method for analyzing sentiment data corresponding to users experiencing an entertainment to generate a sentiment rating is provided. The processor-implemented method includes collecting physical data procured by wearable devices corresponding to the users during the entertainment. The processor-implemented method includes analyzing the physical data to determine sentiment data and generating the sentiment rating for the entertainment based on the sentiment data. The sentiment rating quantifies a collective real-time emotional response for the users that experience the entertainment.

What is claimed is: 
     
         1 . A processor-implemented method for analyzing sentiment data corresponding to one or more users experiencing an entertainment to generate a sentiment rating, the processor-implemented method comprising:
 collecting, by a processor, physical data procured by one or more wearable devices corresponding to the one or more users during the entertainment;   analyzing, by the processor, the physical data to determine sentiment data; and   generating, by the processor, the sentiment rating for the entertainment based on the sentiment data,   wherein the sentiment rating quantifies a collective real-time emotional response for the one or more users that experience the entertainment.   
     
     
         2 . The processor-implemented method of  claim 1 , wherein the physical data comprises sensor readings provided by sensors of the one or more wearable devices that capture and identify a status of bodily functions of the one or more users. 
     
     
         3 . The processor-implemented method of  claim 1 , further comprising receiving one or more inputs corresponding to the one or more users indicating permission to collect the sentiment data. 
     
     
         4 . The processor-implemented method of  claim 1 , further comprising detecting locations with respect to one or more mobile devices corresponding to the one or more users. 
     
     
         5 . The processor-implemented method of  claim 1 , further comprising determining a local time with respect to one or more mobile devices corresponding to the one or more users. 
     
     
         6 . The processor-implemented method of  claim 1 , further comprising determining the entertainment with respect to a location and a local time of a mobile device corresponding to a user of the one or more users. 
     
     
         7 . The processor-implemented method of  claim 1 , wherein the sentiment data is determined from the physical data and from direct user feedback received during a time interval beginning at a conclusion of the entertainment and extending for a predetermined amount of time.