Checkout the following notebooks for examples on how to work with NLU.
NLU Training Examples
Binary Class Text Classification training
- 2 class Finance News sentiment classifier training
- 2 class Reddit comment sentiment classifier training
- 2 class Apple Tweets sentiment classifier training
- 2 class IMDB Movie sentiment classifier training
- 2 class twitter classifier training
Multi Class Text Classification training
- 5 class WineEnthusiast Wine review classifier training
- 3 class Amazon Phone review classifier training
- 5 class Amazon Musical Instruments review classifier training
- 5 class Tripadvisor Hotel review classifier training
- 5 class Phone review classifier training
Multi Label Text Classification training
- Train Multi Label Classifier on E2E dataset Demo
- Train Multi Label Classifier on Stack Overflow Question Tags dataset Demo
Named Entity Recognition training (NER)
Part of Speech tagger training (POS)
NLU Applications Examples
NLU Demos on Datasets
NLU examples grouped by component
The following are Collab examples which showcase each NLU component and some applications.
Named Entity Recognition (NER)
- NER pretrained on ONTO Notes
- NER pretrained on CONLL
- Tokenize, extract POS and NER in Chinese
- Tokenize, extract POS and NER in Korean
- Tokenize, extract POS and NER in Japanese
- Aspect based sentiment NER sentiment for restaurants
Part of speech (POS)
- POS pretrained on ANC dataset
- Tokenize, extract POS and NER in Chinese
- Tokenize, extract POS and NER in Korean
- Tokenize, extract POS and NER in Japanese
Sequence2Sequence
- Translate between 192+ languages with marian
- Try out the 18 Tasks like Summarization Question Answering and more on T5
- T5 Open and Closed Book question answering tutorial
Classifiers
- Unsupervised Keyword Extraction with YAKE
- Toxic Text Classifier
- Twitter Sentiment Classifier
- Movie Review Sentiment Classifier
- Sarcasm Classifier
- 50 Class Questions Classifier
- 300 Class Languages Classifier
- Fake News Classifier
- E2E Classifier
- Cyberbullying Classifier
- Spam Classifier
- Emotion Classifier
Word Embeddings
- BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE at once with t-SNE plotting
- BERT Word Embeddings and t-SNE plotting
- ALBERT Word Embeddings and t-SNE plotting
- ELMO Word Embeddings and t-SNE plotting
- XLNET Word Embeddings and t-SNE plotting
- ELECTRA Word Embeddings and t-SNE plotting
- COVIDBERT Word Embeddings and t-SNE plotting
- BIOBERT Word Embeddings and t-SNE plotting
- GLOVE Word Embeddings and t-SNE plotting
Sentence Embeddings
- BERT Sentence Embeddings and t-SNE plotting
- ELECTRA Sentence Embeddings and t-SNE plotting
- USE Sentence Embeddings and t-SNE plotting
Sentence Embeddings
Dependency Parsing
Text Pre Processing and Cleaning
Chunkers
Matchers
PREVIOUSTraining Models