Viewing entries tagged
Quantitative Text Analysis

New Year's offer: 50% off January courses

New Year's offer: 50% off January courses

SAGE Campus are offering a new year discount on our online courses starting in January. Save 50% on Introduction to Python for Social Scientists, Introduction to R, Interactive Visualization with R for Social Scientists and Quantitative Text Analysis with R for Social Scientists.

SAGE Campus data science webinars

SAGE Campus data science webinars

Whether your looking to improve the visualisation of your data or master your next programming language we've got you covered. Explore all our free webinars in one place

 Webinar: Quantitative Text Analysis

Webinar: Quantitative Text Analysis

Watch our free webinar and learn more about the role that quantitative text analysis plays for social scientists when working with large amounts of data.

Why use quantitative text analysis? By Lily Mehrbod

Why use quantitative text analysis? By Lily Mehrbod

Have you ever needed to analyse hundreds of documents, spent days going through only a fraction of them, and then thrown your pencil up in despair as you scream “there must be a better way!” If so, quantitative text analysis may be for you.

The 3 Basic Steps of Quantitative Text Analysis

The 3 Basic Steps of Quantitative Text Analysis

Quantitative Text Analysis is the automated, systematic method for processing large amounts of text. This means we can easily carry out tasks such as extracting policy positions from election manifestos or speeches, or even study attitudes or emotion in newspapers. The common focus across all methods used in QTA is that they can be reduced to three basic steps. Find out what the 3 steps of QTA are in this blog post.  

How are you analyzing your texts?

How are you analyzing your texts?

The digital age has made huge amounts of data available for analysis in the form of newspapers, blogs, social media feeds, government documents, the list goes on! 

In this post we consider some of the challenges of working with such vast amounts of data and the role that QTA plays.