We spoke to one of our SAGE Campus learners, a PhD candidate in the humanities, to find out what motivated her to learn data science skills, and how she’s putting her new skills to use.
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Quantitative Text Analysis
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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.
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.
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.
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.