RULE-BASED MACHINE LEARNING CLASSIFIER CREATION AND TRACKING PLATFORM FOR FEEDBACK TEXT ANALYSIS

A system and method for creating a machine learning (ML) classifier for a database uses a weakly-supervised training data set created automatically from database items on the basis of a human-created keyword set. The automatically created training data set is used to construct one or more deep learn...

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Bibliographische Detailangaben
Hauptverfasser: KUMAR RAWAT, Manoj, ARUMUGAM, Natarajan, FARSWANI, Pranav Jayant, THIRUMAL, Sathia Prabhu, LATERZA, Christopher Lawrence, REKHI, Karan Singh
Format: Patent
Sprache:eng
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Zusammenfassung:A system and method for creating a machine learning (ML) classifier for a database uses a weakly-supervised training data set created automatically from database items on the basis of a human-created keyword set. The automatically created training data set is used to construct one or more deep learning classifier checkpoints, which can then be compared with one another and with a classifier based on the original keyword set in order to select a classifier for use by other users viewing the database.