texts_to_sequences: Transform each text in texts in a sequence of integers.
In keras: R Interface to 'Keras'
View source: R/preprocessing.R
texts_to_sequences R Documentation
Transform each text in texts in a sequence of integers.
Description
Only top "num_words" most frequent words will be taken into account.
Only words known by the tokenizer will be taken into account.
Usage
texts_to_sequences(tokenizer, texts)
Arguments
tokenizer
Tokenizer
texts
Vector/list of texts (strings).
See Also
Other text tokenization:
fit_text_tokenizer(),
save_text_tokenizer(),
sequences_to_matrix(),
text_tokenizer(),
texts_to_matrix(),
texts_to_sequences_generator()
keras documentation built on May 29, 2024, 3:20 a.m.
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View source: R/preprocessing.R
| texts_to_sequences | R Documentation |
Transform each text in texts in a sequence of integers.
Description
Only top "num_words" most frequent words will be taken into account. Only words known by the tokenizer will be taken into account.
Usage
texts_to_sequences(tokenizer, texts)
Arguments
tokenizer |
Tokenizer |
texts |
Vector/list of texts (strings). |
See Also
Other text tokenization:
fit_text_tokenizer(),
save_text_tokenizer(),
sequences_to_matrix(),
text_tokenizer(),
texts_to_matrix(),
texts_to_sequences_generator()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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