Apache OpenNLP
Curriculum
- 4 Sections
- 20 Lessons
- 10 Weeks
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- Introduction1
- Advanced Natural Language Processing with Apache OpenNLP: A Comprehensive Lecture Series11
- 2.11.0 Module 1: Foundational Concepts in Natural Language Processing and the OpenNLP Toolkit
- 2.22.0 Module 2: Lab Setup – Configuring Your OpenNLP Development Environment
- 2.33.0 Module 3: A Deep Dive into the OpenNLP API
- 2.44.0 Module 4: Practical Implementation – Sentence Segmentation
- 2.55.0 Module 5: Practical Implementation – Tokenization
- 2.66.0 Module 6: Practical Implementation – Named Entity Recognition (NER)
- 2.77.0 Module 7: Practical Implementation – Part-of-Speech (POS) Tagging
- 2.88.0 Module 8: Practical Implementation – Syntactic Parsing
- 2.99.0 Module 9: Practical Implementation – Chunking
- 2.1010.0 Module 10: The Command Line Interface (CLI) for Rapid NLP Tasks
- 2.1111.0 Conclusion and Future Directions
- A Technical Whitepaper on the Apache OpenNLP Library6
- Apache OpenNLP Study Guide2