Introduction to Text Mining for Social Scientists

Introduction to Text Mining for Social Scientists
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What you'll learn

What you'll learn

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What you'll learn on this self-paced online course

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.

By taking this course you will:

  • 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

6 - 8 hours to learn
3 months access


$[[price]] USD

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Course modules

Course modules

There are five 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.



What our learners say






None, this course is intended for learners with no previous experience of text mining.   



Frequently asked questions

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.

How long will I have access to the course for?

You have access to the course for 3 months.

How many hours should I spend leearning every week?

You can take the course at whatever pace you choose.

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.

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.

Do I need to buy Gabe Ignatow's and Rada Mihalcea's books to complete the course?

Learners on the course recevie a 30% discount on Gabe Ignatow's and Rada Mihalcea's books, Text Mining and Introduction to Text Mining. However, the book isn’t essential for completion of the course(everything you need to learn is included within your modules), but there are sections of the course where you might find it interesting to do a little outside reading.

*Excludes learners based in Australia and New Zealand.

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