Intro to Natural Language Processing in Python for AI

سرفصل های دوره

Learn the Technology Behind AI Tools Like ChatGPT: Understanding, Generating, and Classifying Human Language

1 - Introduction

1 - Introduction to the course

2 - Introduction to NLP

3 - NLP in everyday life

4 - Supervised vs Unsupervised NLP

2 - Text Preprocessing

5 - The importance of data preparation

6 - Lowercase

7 - Removing stop words

8 - Regular expressions

9 - Tokenization

10 - Stemming

11 - Lemmatization

12 - Ngrams

13 - Practical task

13 - tripadvisor-hotel-reviews.csv

3 - Identifying Parts of Speech and Named Entities

14 - Text tagging

15 - Parts of speech POS tagging

16 - Named entity recognition NER

17 - Practical task

17 - bbc-news.csv

4 - Sentiment Analysis

18 - What is sentiment analysis

19 - Rulebased sentiment analysis

20 - Pretrained transformer models

21 - Practical task

21 - book-reviews-sample.csv

5 - Vectorizing Text

22 - Numerical representation of text

23 - Bag of Words model

24 - TFIDF

6 - Topic Modelling

25 - What is topic modelling

26 - When to use topic modelling

27 - Latent Dirichlet Allocation

28 - LDA in Python

28 - news-articles.csv

29 - Latent Semantic Analysis

30 - LSA in Python

7 - Builing Your Own Text Classifier

31 - Building a custom text classifier

32 - Logistic regression

33 - Naive Bayes

34 - Linear Support Vector Machine

8 - Case Study Categorizing Fake News

35 - Introducing the project

35 - fake-news-data.csv

36 - Exploring our data through POS tags

37 - Extracting named entities

38 - Processing the text

39 - Does sentiment differ between news types

40 - What topics appear in fake news Part 1

41 - What topics appear in fake news Part 2

42 - Categorizing fake news with a custom classifier

9 - The Future of NLP

43 - What is deep learning

44 - Deep learning for NLP

45 - NonEnglish NLP

46 - Whats next for NLP

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تولید کننده: Udemy