Natural Language Preprocessing Using spaCy

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Riad Almadani

1:15:41

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1. Introduction.mp4

14:33

2. How to do Pos tagging python code.mp4

07:54

3. What are adjuctives and how to find them using spaCy python code.mp4

10:44

4. What are Preposition and postposition and how to find them using spaCy.mp4

25:25

5. What are adverbs and how to find them using spaCy python code.mp4

05:05

6. What Is an Auxiliary Verb and how to find it using spaCy python code.mp4

12:00

Description

NLP with spaCy

What You'll Learn?

Introduction to NLP and Spacy
Working with Text Data
Tokenization and Part-of-Speech Tagging
How to use spaCy models

Who is this for?

Everyone

What You Need to Know?

Python basics

More details

Description
Unlocking Linguistic Insights with spaCy
Welcome to the world of linguistic analysis with our comprehensive Udemy course on using spaCy! If you've ever been curious about the underlying structure of language, fascinated by natural language processing (NLP), or eager to extract valuable information from text, this course is your gateway to the exciting field of computational linguistics.
Linguistic analysis plays a pivotal role in applications ranging from sentiment analysis to chatbots, and spaCy is a leading library that empowers you to explore and manipulate language data with ease. Whether you're a beginner or an experienced developer, our course provides a step-by-step journey through the core concepts, tools, and techniques of spaCy.
In this course, you will:
Gain a solid understanding of linguistic concepts.
Explore tokenization, part-of-speech tagging, and named entity recognition.
Dive into dependency parsing and text classification.
Build practical NLP applications using spaCy.
By the end of the course, you'll be equipped with the skills and knowledge to apply spaCy to real-world linguistic challenges. Join us today and start unraveling the secrets hidden within text!
Who Should Take This Course:
Aspiring data scientists and machine learning engineers interested in NLP.
Software developers keen on integrating NLP capabilities into their applications.
Analysts and researchers aiming to leverage NLP for data analysis and insights.
Who this course is for:
Everyone

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My name is Riad. I started studying artificial intelligence and machine learning five years ago . I am now one of the experts in machine learning ,deep learning ,reinforcement learning on kaggle.I participated in two artificial intelligence competitions on kaggle and won silver medals in both. the first one was MOA competition and the second one was Pet finder competitions.

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