Generating sentiment analysis of content

Certain aspects of the present disclosure provide techniques for providing sentiment analysis of content. In order to determine the overall sentiment of content, a request is received by a sentiment analyzer, which then identifies a content identification number and retrieves comments associated wit...

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Hauptverfasser: Sastry, Abhay Dhundiraju, Sharma, Darpan, Hira, Harpreet Singh, Li, Tak Yiu Daniel, Naga, Sanmathi Sathyanarayana, Paulose, Majo, McHenry, Nicholas Allen, Rajendran, Priyadarshini, Stine, Jasen Paul
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creator Sastry, Abhay Dhundiraju
Sharma, Darpan
Hira, Harpreet Singh
Li, Tak Yiu Daniel
Naga, Sanmathi Sathyanarayana
Paulose, Majo
McHenry, Nicholas Allen
Rajendran, Priyadarshini
Stine, Jasen Paul
description Certain aspects of the present disclosure provide techniques for providing sentiment analysis of content. In order to determine the overall sentiment of content, a request is received by a sentiment analyzer, which then identifies a content identification number and retrieves comments associated with the content identification number. The sentiment analyzer pre-processes the comments, which includes removing all personal identifying information from the comments. The sentiment analyzer sends the pre-processed comments to a natural language processing service, and in turn, receives sentiment indications corresponding to the comments provided. Based on the sentiment scores, the sentiment analyzer generates a sentiment analysis and displays the sentiment analysis in the graphical user interface generated by the sentiment analyzer.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
title Generating sentiment analysis of content
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