Text Analysis 101; A Basic Understanding for Business Users: Document Classification - AYLIEN


The automatic classification of documents is an example of how Machine Learning (ML) and Natural Language Processing (NLP) can be leveraged to enable machines to better understand human language. By classifying text, we are aiming to assign one or more classes or categories to a document or piece of text, making it easier to manage and sort the documents. Manually categorizing and grouping text sources can be extremely laborious and time-consuming, especially for publishers, news sites, blogs or anyone who deals with a lot of content. Broadly speaking, there are two classes of ML techniques: supervised and unsupervised. In supervised methods, a model is created based on previous observations i.e. a training set.

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