Very simple set of scripts to use twython and wordcloud2.js to produce a word clouds from twitter's streaming api
JavaScript HTML Python PHP
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
data
www
LICENSE
MyStreamer.py
README.md
json_dump.py
streaming_script.py
words.py

README.md

TweetCloud

Very simple set of scripts to use twython and wordcloud2.js to produce a word clouds from twitter's streaming api

The raw data that was collected is contained in the data folder along with the sqlite database with both tables, including 'boringwords' - words such as 'the', 'it', 'and' etc that were filtered out from the visualisation - but still counted.

This probably isn't enough info for any real scientific or statistic evaluation but feel free to email me with any questions (email through my website http://www.a-barber.com )