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Examples of supervised ML methods include: Supervised machine learning, where classifications are carried out based on pre-determined categorical classes or labels.Machine learning (ML), used in automatic document classification is divided into: information extraction, web mining, information retrieval and document clustering – see Figure 1, below).įigure 1: Inter-relationship among different text mining techniques including document classification (centre of figure) and their core functionalities. al., 2018).ĪML-DC is the essence of text mining as it transects, not with only NLP, but with other text mining techniques (i.e. NLP itself can be described as “ the application of computation techniques on language used in the natural form, written text or speech, to analyse and derive certain insights from it” (Arun, 2018).ĪML-DC aims to automatically assign ‘ a data-point to a predefined class or group according to its predictive characteristics’ (Kabir et.
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This blog focuses on Automatic Machine Learning Document Classification ( AML-DC) , which is part of the broader topic of Natural Language Processing ( NLP).