Text Analytics - MATLAB & Simulink (original) (raw)
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
| wordEmbeddingLayer | Word embedding layer for deep learning neural network |
|---|
| 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.
Classify Text Data Using Convolutional Neural Network
Classify text data using a convolutional neural network.
Multilabel Text Classification Using Deep Learning
Classify text data that has multiple independent labels.
Image Captioning Using Attention
Train a deep learning model for image captioning using attention.