The objective of this project is to understand how similar English fairy tales are with one another. So, I constructed an interactive correlation matrix made up of fairy tales.
The project is built using D3.
Using a corpus of English fairy tales, I processed the text data using sklearn and numpy to find the cosine similarity between each fairy tale. I also used a document-term matrix to find the 5 most important words associated with each story based off tf-idf scores.
The objective of the project is to visualize similarity and maybe give some shallow insight into why some fairy tales might be more related than the others, so these features from the data were chosen.
External resources I used. https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.matrix.html https://bl.ocks.org/d3noob/c506ac45617cf9ed39337f99f8511218