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    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