Natural Language Processing in the kitchen
Natural Language Processing is a field that covers computer understanding and manipulation of human language, and it’s ripe with possibilities for newsgathering. You usually hear about it in the context of analyzing large pools of legislation or other document sets, attempting to discover patterns or root out corruption. I decided to take it into the kitch
Rhyming with NLP and Shakespeare - Gary Sieling
“Natural Language Processing with Python” (read my review) has lots of motivating examples for natural language processing, focused on NLTK, which among other things, does a nice job of collecting NLP datasets and algorithms into one library. Let’s take one of Shakespeare’s sonnets and see if we can recommend alternate rhymes: import nltk from nltk.corpus import cmudict sonnet = ['O thou, my lovel
Jupyter Notebook Viewer
Using Python to see how the Times writes about men and women¶Neal Caren - University of North Carolina, Chapel Hill mail web twitter scholar Do men and women come up in different contexts in the newspaper? One quick way to answer that question is to compare the words in sentences that discuss women with the words in sentences that discuss men. Here's an example of how to do this sort of analysis u
NLTK 2 Release Highlights
NLTK 2.0.1, a.k.a NLTK 2, was recently released, and what follows is my favorite changes, new features, and highlights from the ChangeLog. New ClassifiersThe SVMClassifier adds support vector machine classification thru SVMLight with PySVMLight. This is a much needed addition to the set of supported classification algorithms. But even more interesting… The SklearnClassifier provides a general inte
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Exploring Zipf’s Law with Python, NLTK, SciPy, and Matplotlib - Gary Sieling
Creating N-Gram Indexes with Python - Gary Sieling
GitHub - mmautner/readability: a collection of functions that measure the readability of a given body of text
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Just Enough NLP with Python
Charming Python: Functional programming in Python, Part 3