- Добавил: literator
- Дата: 31-01-2023, 08:00
- Комментариев: 0

Автор: Tony Snake
Издательство: Independently published
Год: December 9, 2022
Страниц: 275
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Learn how you can perform named entity recognition using HuggingFace Transformers and spaCy libraries in Python. Named Entity Recognition (NER) is a typical natural language processing (NLP) task that automatically identifies and recognizes predefined entities in a given text. Entities like person names, organizations, dates and times, and locations are valuable information to extract from unstructured and unlabeled raw text. At the end of this tutorial, you will be able to perform named entity recognition on any given English text with HuggingFace Transformers and SpaCy in Python. SpaCy is an open-source library in Python for advanced Natural Language Processing (NLP). It is built on the latest research and designed to be used in real-world products. We'll be using two NER models on SpaCy, namely the regular en_core_web_sm and the transformer en_core_web_trf. We'll also use spaCy's NER amazing visualizer.