Campus_Introduction to text mining.jpg
Campus_Introduction to text mining.jpg

What you'll learn


Introduction to Text Mining

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What you'll learn


Introduction to Text Mining

Gain a foundational understanding of the analysis of textual data sets from social media sites, digital archives, and digital surveys and interviews through the study of language and social interactions in digital environments.

This course is perfect for social scientists who want to gain a conceptual overview of the text mining landscape to take first steps towards working on a text mining project or collaborating with computational colleagues.

This course will help learners to:

  • Learn the foundations of Natural Language Processing (NLP)

  • Learn how text mining tools have been used successfully by social scientists

  • Understand basic text processing techniques

  • Understand how to approach narrative analysis, thematic analysis, and metaphor analysis

  • Learn about key computer science methods for text mining, such as text classification and opinion mining

Language: English

Time to complete: 10 hours

Level: Beginner

Instructor
[[Instructor]]

How to access:
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Course modules


Course modules


There are 5 modules in this course:

 

1. Foundations

In this module you will learn about the sources of internet-based textual data, and the key ethical and philosophical decisions that must be taken before acquiring data from human subjects.

2. Research design and basic tools

In this module you will learn how to design a social science study centered on internet-based textual data and gain a fundamental understanding of scraping textual data from websites.

3. Text mining fundamentals

In this module you will learn fundamental Natural Language Processing (NLP) procedures and gain familiarity with online resources available for using NLP for social research.

4. Methods from the humanities and social sciences

In this module you will learn the main approaches to text mining and text analysis that have been applied successfully in social science research.

5. Computer science methods

In this module you will learn about several advanced text mining methods.

Testimonials


Testimonials


What our learners say

 
Testimonials
Introduction to Text Mining
Vincenc Fernandez - Professor at the Polytechnic University of Catalonia
Introduction to Text Mining

“I took Introduction to Text Mining to learn which tools I could use to run text mining analysis. After the course, I have understood how this method works and how I can use it in my field. The structure and the material of the course are excellent. The course is perfect for everyone who wants to learn about text mining.”

Introduction to Text Mining
 

Who it's for


Who it's for


Who it’s for

 This course is intended for learners with no previous experience of text mining.   

FAQs


FAQs


Frequently asked questions

How is the course structured?

The course is broken down into 5 modules and is designed to be completed sequentially, as each module builds upon the topics covered in the previous one.

What software do I need for this course?

No specific software is required to take this course.

What do I need to participate on this course?

A laptop or PC is required.

Do learners get a certificate?

All of our courses offer a certificate of completion signed by your instructor. You will be able to download this certificate, from the Learning Platform, when you complete the course.

In what fields are text mining tools used?

Text mining tools are used in all social science fields, linguistics, computer science, data science, marketing, and business analytics.

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