I used nltk to extract only nouns and to do word stemming (e.g. so that "time", "times" and "timing" are only counted as one word).
I also experimented a lot with various method of determining word size i.e. size proportional to frequency, size proportional to log(frequency), size proportional to sqrt(frequency).
- https://raw.githubusercontent.com/brianquinlan/word-cloud-va...
- https://github.com/brianquinlan/word-cloud-valentine/blob/ma...
My implementation (https://github.com/brianquinlan/word-cloud-valentine) is a lot less sophisticated than stylecloud but I think that I had a few interesting ideas about text extraction.
I used nltk to extract only nouns and to do word stemming (e.g. so that "time", "times" and "timing" are only counted as one word).
I also experimented a lot with various method of determining word size i.e. size proportional to frequency, size proportional to log(frequency), size proportional to sqrt(frequency).