Analyzing texts – software and tutorials

First, it is important to understand that you do not necessarily need specific software to analyze texts. Sometimes, even if what you are interested in is style, you will be better off creating a “classical” dataset (one row per text, one column per interesting feature of the text) and analyzing it with a spreadsheet editor or classical functions in R, rather than feeding the entire text into specific software (provided that you have the means to digitize it). But sometimes, as we also explain in Chapter 7, you might want to use specific tools devised for texts – the object of this post. Here is a useful, if far from exhaustive, survey of software; we give more details on some options below. Continue reading “Analyzing texts – software and tutorials”

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