I was playing around with some of the visual text tools and decided to share TAPoR. This website text HTML text via link and gives a work count of all the terms used. I honestly thought that i was inputting all my links and text incorrectly because the results were so average. Because it is an HTML reader, it catches ALL the words it sees, meaning, that includes those that are not even part of the actual text we are trying to analyze.
The link I used was a free ebook from gutenberg.org. It was Henry James’, The Turn of the Screw. In calculating a whole list of terms found in the text along with the number of times it was frequent did not conclude the way I expected. This was a gothic novel, full of mystery, paranoia, and horror. None of the terms captured what I felt like the text was trying to say.
This shows that because a word is frequent in the text, doesn’t mean it signifies the true essence of it. Literature is not merely a word count, it has something to do with analysis. We are taught not to take things at face-value, though this tool does its job too literally. I don’t think it would to analytical research justice.