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Concept information

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

Preferred term

naive Bayes classifier  

Definition

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

Broader concept

Example

  • 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)

In other languages

URI

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

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