Introduction to Python Spark NLP: Key Features and Capabilities
- Tokenization
- Normalizer
- Stemmer
- Lemmatizer
- Regex Matching
- Text Matching
- Chunking
- Date Matcher
- Part-of-speech tagging
- Sentence Detector
- Sentiment Detection (ML model)
- Spell Checker (ML and DL models)
- Word Embeddings (BERT and GloVe)
- Named entity recognition
- Dependency parsing (Labeled/unlabled)
- Easy TensorFlow integration