Text Analytics

Extend deep learning workflows with text analytics applications

Apply deep learning to text analytics applications by using Deep Learning Toolbox™ together with Text Analytics Toolbox™.

Functions

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Deep Learning Layers

wordEmbeddingLayer Word embedding layer for deep learning neural network

Word Embedding and Encodings

`fastTextWordEmbedding`	Pretrained fastText word embedding
`readWordEmbedding`	Read word embedding from file
`trainWordEmbedding`	Train word embedding
`doc2sequence`	Convert documents to sequences for deep learning
`word2vec`	Map word to embedding vector
`word2ind`	Map word to encoding index
`vec2word`	Map embedding vector to word
`ind2word`	Map encoding index to word
`isVocabularyWord`	Test if word is member of word embedding or encoding
`writeWordEmbedding`	Write word embedding file
`wordEmbedding`	Word embedding model to map words to vectors and back
`wordEncoding`	Word encoding model to map words to indices and back

Topics

Classify Text Data Using Deep Learning
This example shows how to classify text data using a deep learning long short-term memory (LSTM) network.
Classify Text Data Using Convolutional Neural Network
This example shows how to classify text data using a convolutional neural network.
Classify Text Data Using Custom Training Loop
This example shows how to classify text data using a deep learning bidirectional long short-term memory (BiLSTM) network with a custom training loop.
Multilabel Text Classification Using Deep Learning
This example shows how to classify text data that has multiple independent labels.
Classify Out-of-Memory Text Data Using Deep Learning
This example shows how to classify out-of-memory text data with a deep learning network using a transformed datastore.
Sequence-to-Sequence Translation Using Attention
This example shows how to convert decimal strings to Roman numerals using a recurrent sequence-to-sequence encoder-decoder model with attention.
Language Translation Using Deep Learning
This example shows how to train a German to English language translator using a recurrent sequence-to-sequence encoder-decoder model with attention.
Generate Text Using Deep Learning
This example shows how to train a deep learning long short-term memory (LSTM) network to generate text.
Pride and Prejudice and MATLAB
This example shows how to train a deep learning LSTM network to generate text using character embeddings.
Word-by-Word Text Generation Using Deep Learning
This example shows how to train a deep learning LSTM network to generate text word-by-word.
Generate Text Using Autoencoders
This example shows how to generate text data using autoencoders.
Define Text Encoder Model Function
This example shows how to define a text encoder model function.
Define Text Decoder Model Function
This example shows how to define a text decoder model function.

Featured Examples

Classify Text Data Using Deep Learning

Classify text data using a deep learning long short-term memory (LSTM) network.

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Classify Text Data Using Convolutional Neural Network

Classify text data using a convolutional neural network.

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Multilabel Text Classification Using Deep Learning

Classify text data that has multiple independent labels.

Open Live Script