foxfirefey: Fox stealing an egg. (Default)
[personal profile] foxfirefey
For people who want to learn how to do natural language processing, the NLTK library has a CC'd book, Natural Language Processing with Python. Might be a useful resource for people wanting to make things based off of people's post content.
foxfirefey: Dreamwidth: social content with dimension. (dreamwidth)
[personal profile] foxfirefey
I've released the library that I made to create LJ relationship graphs. It uses NetworkX which uses matplotlib. It's fairly rudimentary, but sufficient for a simple graph of people an account has friended who've friended each other, with the size of the dots scaled to the number of mutual friends that person has.

small example )

The functions in the package also provide some nice functionality for on the fly processing (ie, figuring out who do X and Y have friended in common). There's a fdata download and caching manager (default refresh rate: 2 weeks), and it rate limits its requests, so you don't have to be concerned about being hard on the servers when running it.

It can be found on BitBucket. I'm not too familiar with Python yet, though I have been enjoying it immensely, so anybody who Knows Better on how to do things is free to give me a guiding poke.

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