How Entity Extraction Works | Turn Unstructured Text into Data скачать в хорошем качестве

How Entity Extraction Works | Turn Unstructured Text into Data

Learn how entity extraction transforms unstructured text into structured data in this comprehensive tutorial! Entity extraction is a crucial Natural Language Processing (NLP) technique that identifies and classifies key information like names, organizations, locations, and dates from raw text. 📋 What You'll Learn: Text preprocessing techniques (tokenization, POS tagging, lemmatization) Entity identification using Named Entity Recognition (NER) Entity classification methods and categories Output formats for structured data This video covers the complete workflow including: ✓ Tokenization and sentence segmentation ✓ Pattern matching vs. statistical models ✓ Machine learning approaches (CRFs, RNNs, Transformers) ✓ Common entity categories (Person, Organization, Location, Date/Time) ✓ Structured output formats (JSON, XML, knowledge graphs) Perfect for data scientists, ML engineers, and anyone interested in NLP and text analytics! #entityextraction #nlp #machinelearning #datascience