Junjia He junjiah

## lda_gibbs.py
"""
(C) Mathieu Blondel - 2010
License: BSD 3 clause

Implementation of the collapsed Gibbs sampler for
Latent Dirichlet Allocation, as described in

Finding scientifc topics (Griffiths and Steyvers)
"""

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## haskell-resources.md

      
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                junjiah
                / haskell-resources.md
            
            
              Created
              October 3, 2013 15:13
                — forked from leroux/haskell-resources.md
            
          
    Haskell Resources


Learning Haskell
Learn You a Haskell for Great Good

Learn You A Haskell Exercises


Real World Haskell
FPComplete's School of Haskell
Haskell Wikibook
Natural Language Processing for the Working Programmer (An Introduction to NLP and Haskell)
Intro to Computing with Haskell


## naivebayes.py
# Jie Bao, 2013-07-16
# baojie@gmail.com
# simple Naive Bayes classifier

import nltk
from nltk.corpus import movie_reviews

import random
import os
import json
	"""
	(C) Mathieu Blondel - 2010
	License: BSD 3 clause

	Implementation of the collapsed Gibbs sampler for
	Latent Dirichlet Allocation, as described in

	Finding scientifc topics (Griffiths and Steyvers)
	"""
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	# Jie Bao, 2013-07-16
	# baojie@gmail.com
	# simple Naive Bayes classifier

	import nltk
	from nltk.corpus import movie_reviews

	import random
	import os
	import json