It has been a more-busy-than-usual week on campus, and I've had a pretty packed conference schedule. I've been much too far behind on New Year's Resolution:
So, in it's most-purest most-rawest most-honest form, you can find a number of raw transcripts in the new repo: decause/raw
So, What does that look like?
. ├── libreplanet │ └── 2015 │ ├── closingkeynote-libreplanet-karensandler.txt │ ├── debnicholson-friday.txt │ ├── freesoftwareawards.txt │ └── highpriorityprojs-libreplanet-friday.txt ├── pycon │ └── 2015 │ ├── ninapresofeedback.txt │ ├── pycon-day2-keynotes.txt │ ├── pyconedusummit2015.txt │ └── scherer-pycon-ansible-day2.txt └── RIT └── 2015 ├── biella-astra-raw.txt ├── biella-molly-guest-lecture.txt └── molly-sauter-where-is-the-digital-street.txt 6 directories, 13 files $ wc -w libreplanet/2015/*.txt 2287 libreplanet/2015/closingkeynote-libreplanet-karensandler.txt 139 libreplanet/2015/debnicholson-friday.txt 586 libreplanet/2015/freesoftwareawards.txt 2297 libreplanet/2015/highpriorityprojs-libreplanet-friday.txt 5309 total $ wc -w pycon/2015/*.txt 106 pycon/2015/ninapresofeedback.txt 2233 pycon/2015/pycon-day2-keynotes.txt 1844 pycon/2015/pyconedusummit2015.txt 63 pycon/2015/scherer-pycon-ansible-day2.txt 4246 total $ wc -w RIT/2015/*.txt 4521 RIT/2015/biella-astra-raw.txt 2489 RIT/2015/biella-molly-guest-lecture.txt 1964 RIT/2015/molly-sauter-where-is-the-digital-street.txt 8974 total 18529 total total
18,529 words, or, just over 41 pages total of raw text.
There is a flaw in my workflow. Though there is some utility in a raw transcript, really it is mostly when delivered in real-time. After the fact, there is much post-production work to be done, like spell checking. Even after, if there is a video, then the transcript is partial, and incomplete. This is bothersome to many potential downstream consumers of raw text. So where does that leave us?
I've played with
word_cloud before within my decause/presignaug for building
presidential inauguration visualizations last year. Since then, word_cloud has
gotten much more sophisticated--now using scikitlearn, and numpy, and providing the ability to fit word clouds within images!
List of Issues/Fixes
- you'll need to
pip install cythonfirst
You'll need to
sudo yum install freetype-devel(probably not necessary, since this is alleviated by pointing at a diff
- you'll have to edit your
- image masks *must* be saved as greyscale, not rgb images (this was a biggie, and I wouldn't have figured it out if
GIMPdidn't display the color encoding in the file statusbar when you opened things :) )