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Vocabulary of natural language processing

NLP methods and tools > NLP algorithm > classification algorithm > classifier > naive Bayes classifier

NLP methods and tools > model > statistical model > foundation model > naive Bayes classifier

NLP methods and tools > statistics > statistical model > foundation model > naive Bayes classifier

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naive Bayes classifier

Simple probabilistic classifier based on applying Bayes' theorem with strong (naïve) independence assumptions between the features. (Wikipedia).

Ejemplo

For the filtering process they train an ensemble of Support Vector Machines (SVMs) and naive Bayes classifiers on a set of 250 000 manually annotated articles (Croicu and Weidmann 2015). (Olsen, Simon, Velldal & \\Ovrelid, 2024)
Research also revealed that Naive Bayes classifier give its best result 95.47 percent with the combination of frequency based vectorizer and bigram model while random forest acquires highest F1-score 93.33 percent by using tf-idf based feature extraction and unigram model. (Mammadli, Huseynov, Alkaramov, Jafarli, Suleymanov & Rustamov, 2019)

classifieur bayésien naïf

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URI

http://data.loterre.fr/ark:/67375/8LP-MP2GHNG5-6

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