Text Mining

Text mining is the delivering of high quality information through the use of data, in this particular case the data would be text. We explored how to use various text mining resources such as Wordle and Google Ngram. Although these show interesting relationships between text and word choice, for my particular project text mining would not be helpful.

I learned that in only certain cases text mining is useful. For instance, if I were doing a project based around a historical figure of D.C delivering a speech, text mining would be useful because I would be able to pinpoint exact words that were used repeatedly in order to create emphasis which would further show the subject and main points of the speech. Wordle would especially be useful for this because you would also be provided with a “text picture” that could be included in your project to create a visual appeal.

Since my project deals mostly with road design and the context behind that, text mining would be relatively useless. Most of my facts and data will be coming from maps and  books, I don’t necessarily need to know what words come up the most in my article or book.



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