Systems for Role Classification

In implementations of systems for role classification, a computing device implements a role system to receive data describing a corpus of text that is associated with a user ID. Feature values of features are generated by a first machine learning model by processing the corpus of text, the features...

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Bibliographische Detailangaben
Hauptverfasser: Kumbi, Niranjan Shivanand, Tagra, Sanjeev, Soni, Sachin, Kienle, Eric Andrew, Jain, Abhishek, Awatramani, Ajay, Jain, Ajay
Format: Patent
Sprache:eng
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Zusammenfassung:In implementations of systems for role classification, a computing device implements a role system to receive data describing a corpus of text that is associated with a user ID. Feature values of features are generated by a first machine learning model by processing the corpus of text, the features representing questions with respect to the corpus of text and the feature values representing answers to the questions included in the corpus of text. A classification of a role is generated by a second machine learning model by processing the feature values, the classification of the role indicating a relationship of the user ID with respect to a product or service. The role system outputs an indication of the classification of the role for display in a user interface of a display device.