Udemy – Practical Text Analytics using spaCy v3.0 2024-10

Published on: 2024-11-07 11:08:40

Categories: 28

Description

Practical Text Analytics course using spaCy v3.0. What is text analysis? Text analysis is the process of converting unstructured text documents into structured and usable data. Text analysis works by breaking down sentences and phrases into their component parts and then evaluating the role and meaning of each part using sophisticated software rules and machine learning algorithms. In spaCy, you can use machine learning algorithms in two ways:

Pre-trained models provided by spaCy and other organizations – for example, the en_core_web_md used in this course is a pre-trained model provided by Explosion, the company that created spaCy.
Custom machine learning models that you train on your data – often referred to in the documentation as “statistical models”.

What you will learn in the Practical Text Analytics using spaCy v3.0 course

Understanding the document object in spaCy
How spaCy pipelines work
How to use rule-based matching for information extraction
A system for practical and repetitive text analysis using the itables library

This course is suitable for people who

Data professionals who want to use spaCy and natural language processing
Anyone who has a spreadsheet where one of the columns is a paragraph of text and wants to know how to extract useful information from that text with the filters you can apply on other columns (sort, less than, greater than, etc.) in the page tools Widely applied like Excel and Airtable.