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Applied-Text-Mining-in-Python

Module 1: Working with Text in Python

5 videos, 4 readings, 1 practice quiz

Reading: Course Syllabus

Reading: Help us learn more about you!

Video: Introduction to Text Mining

Video: Handling Text in Python

Reading: Notice for Auditing Learners: Assignment Submission

Notebook: Working with Text

Video: Regular Expressions

Notebook: Regex with Pandas and Named Groups

Video: Demonstration: Regex with Pandas and Named Groups

Practice Quiz: Practice Quiz

Video: Internationalization and Issues with Non-ASCII Characters

Discussion Prompt: Introduce Yourself

Reading: Resources: Common issues with free text

Notebook: Assignment 1

Graded: Module 1 Quiz

Graded: Assignment 1 Submission

Module 2: Basic Natural Language Processing

3 videos, 1 practice quiz

Video: Basic Natural Language Processing

Notebook: Module 2 (Python 3)

Video: Basic NLP tasks with NLTK

Video: Advanced NLP tasks with NLTK

Practice Quiz: Practice Quiz

Discussion Prompt: Finding your own prepositional phrase attachment

Notebook: Assignment 2

Graded: Module 2 Quiz

Graded: Assignment 2 Submission

Module 3: Classification of Text

7 videos

Video: Text Classification

Video: Identifying Features from Text

Video: Naive Bayes Classifiers

Video: Naive Bayes Variations

Video: Support Vector Machines

Video: Learning Text Classifiers in Python

Notebook: Case Study - Sentiment Analysis

Video: Demonstration: Case Study - Sentiment Analysis

Notebook: Assignment 3

Graded: Module 3 Quiz

Graded: Assignment 3 Submission

Module 4: Topic Modeling

4 videos, 2 readings, 1 practice quiz

Video: Semantic Text Similarity

Video: Topic Modeling

Video: Generative Models and LDA

Practice Quiz: Practice Quiz

Video: Information Extraction

Reading: Additional Resources & Readings

Notebook: Assignment 4

Reading: Post-Course Survey

Graded: Module 4 Quiz

Graded: Assignment 4 Submission

Note

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Repo for Applied Text Mining in Python (coursera) by University of Michigan

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