Supervised Text Classification using Text Search

Nabarun Mondal, Mrunal Lohia

Supervised text classification is a classical and active area of ML research. In large enterprise, solutions to this problem has significant importance. This is specifically true in ticketing systems where prediction of the type and subtype of tickets given text to optimal routing is a multi billion dollar industry. By novel use of any text search engine the authors stumbled upon an industrial algorithm class which can accurately ( 86% and above ) predict classification of any text given prior labelled text data. This algorithms were used to automate routing of issue tickets to the appropriate team. This class of algorithms has far reaching consequences for a wide variety of industrial applications, IT support, RPA script triggering, even legal domain where massive set of pre labelled data are already available.

Knowledge Graph

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