Advanced approximate sentence matching in Python

In our last post, we went over a range of options to perform approximate sentence matching in Python, an import task for many natural language processing and machine learning tasks.  To begin, we defined terms like: tokens: a word, number, or other "discrete" unit of text. stems: words that have had their "inflected" pieces removed based on

Fuzzy match sentences in Python

Let's imagine you have a sentence of interest.  You'd like to find all occurrences of this sentence within a corpus of text.  How would you go about this? The most obvious answer is to look for exact matches of the sentence.  You'd search through every sentence of your corpus, checking to see if every character of the

Isotonic Regressions in scikit-learn

Isotonic regression is a great tool to keep in your repertoire; it's like weighted least-squares with a monotonicity constraint.  Why is this so useful, you ask?  Take a look at the example relationship below. (You can follow along with the Python code here).       Let's imagine that the true relationship between x and y is characterized piece-wise by a sharp

By |2014-06-08T22:30:37-04:00June 8th, 2014|Consulting, Machine Learning, Programming, Research|1 Comment

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