Some Text Mining Resources

Today in class I briefly mentioned TF-IDF (Term Frequency-Inverse Document Frequency) as a possible way for us to identify "give away" words that might appear more frequently in a particular document. Here are some introductory explanations of the method:

And here’s a cool visualization experiment using TF-IDF made by Tim Sherratt, who also made the Real Face of White Australia and Headline Roulette sites shown in class today.

I also mentioned Named Entity Recognition in class; this is the same library used by the Rezo Viz tool that Daniel and Alyssa showed us in their Voyant Tools presentation. It may be possible for us simply to use Voyant as an interface for NER and export a list of place and person names from our ads, but we need to look into this further.

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