Skip to main content
Home

Text Analysis - Linguistics Meets Data Science

Authors
Topics

This course from dariahTeach introduces the learner to concepts and approaches to text analysis, from corpus linguistics to sentiment analysis. Core concepts in Linguistics as well as Data Science are explained as an introduction. It then focuses on ideas and approaches topic modelling and sentiment analysis, followed up with concrete examples showcasing the methods presented.

Tools and methods are also introduced along with practical examples to demonstrate their use.

Learning Outcomes

After completing this course, learners will be able to:

  • discuss the differences between corpus linguistics and data science
  • apply text analysis techniques, such as sentiment analysis and topic modelling, to a dataset

Cite as

Jukka Tyrkkö and Daniel Ocic Ihrmark (2023). Text Analysis - Linguistics Meets Data Science. Version 1.0.0. dariahTeach [Training module]. https://teach.dariah.eu/mod/lesson/view.php?id=1686

Reuse conditions

Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter.

Full metadata

Title:
Text Analysis - Linguistics Meets Data Science
Authors:
Jukka Tyrkkö, Daniel Ocic Ihrmark
Domain:
Social Sciences and Humanities
Language:
en
Published to DARIAH-Campus:
26/09/2023
Originally published:
22/05/2023
Content type:
Training module
License:
CC BY 4.0
Sources:
DARIAH Teach
Topics:
Scholarly practice, Big data, Data modeling
Version:
1.0.0