Statements (30)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:assumes |
feature independence
multinomial distribution of features |
| gptkbp:author |
gptkb:Andrew_McCallum
gptkb:Kamir_Nigam |
| gptkbp:basedOn |
gptkb:Bayes_theorem
|
| https://www.w3.org/2000/01/rdf-schema#label |
Multinomial Naive Bayes
|
| gptkbp:hyperparameter |
alpha
fit_prior |
| gptkbp:implementedIn |
gptkb:NLTK
gptkb:Weka gptkb:scikit-learn |
| gptkbp:input |
discrete features
term frequencies word counts |
| gptkbp:introducedIn |
1998
|
| gptkbp:output |
class label
|
| gptkbp:pdf |
gptkb:A_Comparison_of_Event_Models_for_Naive_Bayes_Text_Classification
|
| gptkbp:powers |
efficient for large datasets
simple to implement |
| gptkbp:relatedTo |
gptkb:Bernoulli_Naive_Bayes
gptkb:Gaussian_Naive_Bayes |
| gptkbp:usedFor |
spam filtering
sentiment analysis text classification document classification |
| gptkbp:weakness |
assumes feature independence
not suitable for continuous features |
| gptkbp:bfsParent |
gptkb:Naive_Bayes
|
| gptkbp:bfsLayer |
7
|