Getting Started with Natural Language Processing with Python

سرفصل های دوره

This course is all about taking raw text data and deriving insights and value from it--processing text data using standard techniques in Natural Language Processing and Machine Learning.

1-Course Overview

1 -Course Overview

2-Getting Started

2 -Recognizing Natural Language Processing Applications

3 -Understanding NLP Tasks

4 -Tokenizing Text

5 -Removing Stopwords

6 -Identifying Bigrams

7 -Stemming and POS Tagging

8 -Disambiguating Word Meanings

9 -Contrasting Rule Based and Machine Learning Approaches

10 -Understanding Types of Machine Learning Problems in NLP

11 -Understanding the Mechanics of Machine Learning

3-Auto-summarizing Text

12 -Auto-summarizing Text Using a Rule-based Model

13 -Understanding the Mechanics

14 -Downloading an Article

15 -Preprocessing Article Text

16 -Extracting a Summary

4-Classifying Text Using Machine Learning

17 -Outlining the Objective

18 -Building a Corpus of Tech Articles

19 -Understanding the Clustering Workflow

20 -Identifying Themes Using K-Means Clustering

21 -Understanding the Classification Workflow

22 -Assigning a Theme to an Article

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تولید کننده: PluralSight