Work in progress, on github just so I don't lose it.
Compares texts to see how mashupable they are via Markov pseudo-random text generation.
Can compare any # of texts
Comparing the 2-gram key values seems to be a valid approach so far. As expected, The Adventures of Sherlock Holmes vs. The Return of Sherlock Holmes has the highest match value.
Holmes vs Holmes 0.13214838352 Holmes vs. Mystery at Styles 0.103376868349 Holmes vs. Grimms' Tales 0.0933396949937 Mystery at Styles vs. Grimms' 0.0829907246313
##To Do
convert to a markovirator class
##Methods
- Similarity Index
- Key Uniqueness Index
- Write new text -- done
- Mashup texts -- done
-- Hi Atsi, testing to see if I can edit this and submit a pull request. -Gelli
Update: So I can edit this file on my local repository and since I am a collaborator on this project I can push to master (your remote repo)