Introduction to Spacy for Natural Language Processing

سرفصل های دوره

Kick start your Data Science career with NLP. This course is about Spacy. NLTK is not taught in this course.

1. Introduction

1. Introduction to NLP

2. Spacy 3 Introduction

1.1 Spacy_3_Masterclass_Tutorial.zip

1. Code Files.html

2. Spacy 3 Introduction

3. Tokenization

4. Part of Speech (PoS) Tagging

5. Visualizing Dependency Parsing with Displacy

6. Sentence Boundary Detection

7. Stop Words

8. Lemmatization

9. Stemming in NLTK - Lemmatization vs Stemming in NLP

10. Word Frequency Counter

11. Rule Based Matching in Spacy Part 1

12. Rule Based Token Matching Examples Part 2

13. Rule Based Phrase Matching in Spacy

14. Rule Based Entity Matching in Spacy

15. NER (Named Entity Recognition) in Spacy 3 Part 1

16. NER (Named Entity Recognition) in Spacy 3 Part 2

17. Word to Vector (word2vec) and Sentence Similarity in Spacy

3. Resume (CV) Parsing using Spacy 3

1. Resume (CV) Parsing Introduction

2. NER Training Introduction and Config Setup

3. NER Training Data Preparation

4. Training Configuration File Explanation

5. NER Training Data Preparation Part 1

6. NER Training Data Preparation Part 2

7. NER Training with Transformers

8. CV Parsing and NER Prediction

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تولید کننده: Udemy-Training