NATURAL LANGUAGE PROCESSING TECHNIQUES USING TARGET COMPOSITE SENTIMENT DESIGNATION

There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an interme...

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Bibliographische Detailangaben
Hauptverfasser: Animesh, Bhargava, Saurabh, SABAPATHY, Rajesh, Jain, Sumeet, Awasthi, Gourav, Bansal, Praveen, Das, Sandeep Chandra, Gaurav
Format: Patent
Sprache:eng
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Zusammenfassung:There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an intermediate emotional sentiment score object based at least in part on the input text sequence and by utilizing an emotional sentiment machine learning model, generating an overall emotional sentiment score based at least in part on the intermediate sentiment score object and by utilizing an emotional sentiment score transformation object, and performing one or more prediction-based actions based at least in part on the overall emotional sentiment score.