<commit_before>#autoTawil

This is a set of python modules that work together to crawl tweets from a Twitter user and then generate random tweets using a simple Markov algorithm. It also has a queue script to automate the process of crawling/generating/posting.

It was created as a joke for @Tawil but the code is quite simple and can be easily adapted to any other user.

It uses the Tweepy and Scheduler Python libraries. 

Also, to build this I have refactored some code from: <https://gist.github.com/grantslatton/7694811>. So Thank you :)

*Note: the code actually has a few known non critical bugs but it works just fine for its main purpose: build a simple funny TWitter bot.*
<commit_msg>Edited readme<commit_after>#autoTawil

This is a set of python modules that work together to crawl tweets from a Twitter user and then generate random tweets using a simple [Markov algorithm](http://en.wikipedia.org/wiki/Markov_chain). It also has a queue script to automate the process of crawling/generating/posting.

It was created by [@bertez](https://twitter.com/bertez) as a joke for [@Tawil](https://twitter.com/Tawil) but the code is quite simple and can be easily adapted to any other user.

It uses the [Tweepy](https://github.com/tweepy/tweepy/commits/master) and [Schedule](https://github.com/dbader/schedule) Python libraries. 

Also, to build this I have refactored some code from: <https://gist.github.com/grantslatton/7694811>. So Thank you :)

*Note: the code actually has a few known non critical bugs but it works just fine for its main purpose: build a simple funny Twitter bot.*

{'fraction_non_alphanumeric': 0.07013149655604257, 'fraction_numerical': 0.008766437069505322, 'mean_word_length': 4.4353741496598635, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 6, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '6972871', 'n_tokens_mistral': 468, 'n_tokens_neox': 443, 'n_words': 225}