課程大綱： Scaling Data Pipelines with Spark NLP培訓
Introduction
Spark NLP vs NLTK vs spaCy
Overview of Spark NLP features and architecture
Getting Started
Setup requirements
Installing Spark NLP
General concepts
Using Pre-trained Pipelines
Importing required modules
Default annotators
Loading a pipeline model
Transforming texts
Building NLP Pipelines
Understanding the pipeline API
Implementing NER models
Choosing embeddings
Using word, sentence, and universal embeddings
Classification and Inference
Document classification use cases
Sentiment analysis models
Training a document classifier
Using other machine learning frameworks
Managing NLP models
Optimizing models for low-latency inference
Troubleshooting
Summary and Next Steps
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