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Wikipedia Article Crawler & Clustering: Text Classification with Spacy
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Spacy is a powerful NLP library that performs many NLP tasks in its default configuration, including tokenization, stemming and part-of-speech tagging. These steps can be extended with a text classification task as well, in which training data in the form of preprocessed text and expected categories as dictionary objects are provided. Both multi-label and single-label classification is supported.
This article shows how to apply text classification on Wikipedia articles using Spacy. You will learn how to process Wikipedia articles, extract …
article classification clustering crawler data dictionary form library nlp objects part part-of-speech python spacy speech stemming tagging tasks text text classification tokenization training training data wikipedia