Advanced Natural Language Processing with Free Low-Code and...
summary
Shows concrete tools and results: a one-line Python API (NLU) exposes over 4,500 ready models and reuses Spark NLP embeddings with 1.25 million downloads per month, doing sentiment, NER, summarization and question answering in single calls. Annotation Lab is free with unlimited users and projects, runs as an air-gapped install, provides enterprise features like SSO, audit and analytics, auto-preannotation and active learning that speed labeling 5–10×, trains models asynchronously and lets teams download or deploy trained models.
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chapters (31)
- 0:00Intro
- 0:49NLP is Growing into a Foundational Enterprise Technology
- 3:56INTRODUCING THE NLU LIBRARY
- 4:50EXAMPLE: TOKENIZATION & SPELL CHECKING
- 5:52SENTIMENT ANALYSIS
- 6:09LANGUAGE DETECTION
- 7:02CALCULATING EMBEDDINGS
- 8:08NAMED ENTITY RECOGNITION
- 8:55UNSUPERVISED KEYWORD EXTRACTION
- 9:33MULTI-CLASS TOXIC CONTENT CLASSIFIER
- 10:33SUMMARIZATION
- 11:52CLOSED-BOOK QUESTION ANSWERING
- 13:02DEPENDENCY PARSER VISUALIZATION
- 13:52NLU EVEN HAS ONE-LINER STREAMLIT APPS
- 14:53NLU STREAMLIT APPS CHEAT SHEET
- 15:20Getting Started with the NLU Library
- 17:40JOHN SNOW LABS' ANNOTATION LAB IS FREE
- 19:15High Productivity Annotation
- 20:26Teamwork
- 21:14Projects & Templates
- 21:33Role-Based Access
- 22:13Analytics
- 23:52Inter-Annotator Agreement
- 24:56No-Code Model Training & Active Learning
- 26:15Automated Pre-Annotation: Don't Start from Scratch
- 27:45Validating & Editing Pre-Annotations
- 29:03No-Code Rules: Dictionary and Regex Based with Context
- 29:37Models Hub: Download, Upload, and Publish Models
- 30:43Share and Reuse Rules
- 31:23Getting Started with the Annotation Lab
- 32:00Please put it all to good use!
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