mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
20 lines
1023 B
Plaintext
20 lines
1023 B
Plaintext
//- 💫 DOCS > API > TEXTCATEGORIZER
|
|
|
|
include ../_includes/_mixins
|
|
|
|
p
|
|
| The model supports classification with multiple, non-mutually exclusive
|
|
| labels. You can change the model architecture rather easily, but by
|
|
| default, the #[code TextCategorizer] class uses a convolutional
|
|
| neural network to assign position-sensitive vectors to each word in the
|
|
| document. The #[code TextCategorizer] uses its own CNN model, to
|
|
| avoid sharing weights with the other pipeline components. The document
|
|
| tensor is then summarized by concatenating max and mean pooling, and a
|
|
| multilayer perceptron is used to predict an output vector of length
|
|
| #[code nr_class], before a logistic activation is applied elementwise.
|
|
| The value of each output neuron is the probability that some class is
|
|
| present.
|
|
|
|
//- This class inherits from Pipe, so this page uses the template in pipe.jade.
|
|
!=partial("pipe", { subclass: "TextCategorizer", short: "textcat", pipeline_id: "textcat" })
|