Learn how to approach the study of language and social interactions in digital environments so you can analyze textual data sets from social media sites, digital archives, and digital surveys and interviews.
By the end of 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
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.
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.
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.
In this module you will learn the main approaches to text mining and text analysis that have been applied successfully in social science research.
In this module you will learn about several advanced text mining methods.
No specific software is required to take this course.
A laptop or PC is required.
You can take the course at whatever pace you choose.
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.You have access to the course for 3 months
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.
Text mining tools are used in all social science fields, linguistics, computer science, data science, marketing, and business analytics.
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