Applied Text Mining in Python

4.1
709 ratings
149 reviews

Course 4 of 5 in the Applied Data Science with Python Specialization

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling). This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.
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SvgLevelIntermediate

Nível intermediário

Clock

Aprox. 14 horas restantes

Sugerido: 7 hours/week
CommentDots

English

Legendas: English

O que você vai aprender

  • Check
    Apply basic natural language processing methods
  • Check
    Describe the nltk framework for manipulating text
  • Check
    Understand how text is handled in Python
  • Check
    Write code that groups documents by topic

Habilidades que você terá

Text MiningNatural Language ToolkitNatural Language ProcessingPython Programming
Globe

curso 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
SvgLevelIntermediate

Nível intermediário

Clock

Aprox. 14 horas restantes

Sugerido: 7 hours/week
CommentDots

English

Legendas: English

Syllabus - What you will learn from this course

1

Section
Clock
8 hours to complete

Module 1: Working with Text in Python

...
SvgReading
5 videos (Total 56 min), 4 readings, 3 quizzes
Video5 videos
Handling Text in Python18m
Regular Expressions16m
Demonstration: Regex with Pandas and Named Groups5m
Internationalization and Issues with Non-ASCII Characters12m
SvgReading4 readings
Course Syllabus10m
Help us learn more about you!10m
Notice for Auditing Learners: Assignment Submission10m
Resources: Common issues with free text10m
Quiz2 practice exercises
Practice Quiz8m
Module 1 Quiz12m

2

Section
Clock
6 hours to complete

Module 2: Basic Natural Language Processing

...
SvgReading
3 videos (Total 36 min), 3 quizzes
Video3 videos
Basic NLP tasks with NLTK16m
Advanced NLP tasks with NLTK16m
Quiz2 practice exercises
Practice Quiz4m
Module 2 Quiz10m

3

Section
Clock
7 hours to complete

Module 3: Classification of Text

...
SvgReading
7 videos (Total 94 min), 2 quizzes
Video7 videos
Identifying Features from Text8m
Naive Bayes Classifiers19m
Naive Bayes Variations4m
Support Vector Machines24m
Learning Text Classifiers in Python15m
Demonstration: Case Study - Sentiment Analysis9m
Quiz1 practice exercises
Module 3 Quiz14m

4

Section
Clock
6 hours to complete

Module 4: Topic Modeling

...
SvgReading
4 videos (Total 58 min), 2 readings, 3 quizzes
Video4 videos
Topic Modeling8m
Generative Models and LDA13m
Information Extraction18m
SvgReading2 readings
Additional Resources & Readings10m
Post-Course Survey10m
Quiz2 practice exercises
Practice Quiz4m
Module 4 Quiz10m
4.1
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Briefcase

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Money

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Top Reviews

By CCAug 27th 2017

Quite challenging but also quite a sense of accomplishment when you finish the course. I learned a lot and think this was the course I preferred of the entire specialization. I highly recommend it!

By CBSep 20th 2017

Excellent course! Video lectures are high quality, with realistic problems and applications. Exercises are reasonably challenging, and all quite fun to do! Strongly recommend this course

Instructor

Avatar

V. G. Vinod Vydiswaran

Assistant Professor

About University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.

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