sloria

9 лет назадdiscuss

Done!

9 лет назадdiscuss

I've added a gif to the docs and the README.

12 лет назадdiscuss

Author here. Must give credit where it's due:

These patterns come from a talk by Vladimir Keleshev, author of docopt and excellent Pythonista. These are NOT my original work.

sloria

13 лет назадdiscuss

"Any time you catch yourself saying, “Well look at how X big company does it.” or “Well X big company tried that and it didn’t work for them,” please smack yourself in the face."

THANK YOU THANK YOU THANK YOU.

sloria

13 лет назадdiscuss

This is an extension to the Python programming language that makes it easier to analyze and manipulate text.

For example, an analyst might use sentiment analysis to see whether Facebook posts about a product are "positive" or "negative" in tone.

As another example, I hacked together this online sentiment analyzer using TextBlob: https://textfeel.herokuapp.com/

See also: NLP (Wikipedia): https://en.wikipedia.org/wiki/Natural_language_processing NLTK (a python library for NLP): http://nltk.org/ Twitter opinion mining using pattern: http://www.clips.ua.ac.be/pages/pattern-examples-elections

sloria

13 лет назадdiscuss

Link was in the README: https://github.com/sloria/datasources/blob/master/scripts/ru...

sloria

13 лет назадdiscuss

More info here: https://github.com/sloria/python-subreddit-stats. Not much to it--the script uses BeautifulSoup to scrape user count, and an Openshift app runs the script hourly as a cronjob.

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