PART II: AUTOMATIC MACHINE LEARNING DOCUMENT CLASSIFICATION – A PRACTICAL APPROACH USING QDA MINER/WORDSTAT

INTRODUCTION Part I of our blog series introduced Automatic Machine Learning Document Classification (AML-DC). Part II of our blog series on Automatic Machine Learning Document Classification (AML-DC) provides a practical and detailed walkthrough on the development and implementation of a supervised AML-DC model in fast, reproducible, reliable and auditable way. RESEARCH PROBLEM How does one classify a large corpora of survey results into positive and negative sentiment classes, in a fast, reproducible, reliable and auditable way? METHOD Our solution...

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