Metric for comparing text
Project description
Text Comparer
=============
Uses cosine similarity to give a numerical evaluation of the similarity of two
texts (0 to 1).
This code has a companion blog-post here:
http://engineering.aweber.com/cosine-similarity/
Sample Usage
------------
```python
In [1]: from vectorizer import compare_texts
In [2]: compare_texts('Mary had a little shotgun.', 'Mary loves her shotgun')
Out[2]: 0.66666666666666663
In [3]: compare_texts('John loves Mary.', 'But Mary has a shotgun.')
Out[3]: 0.33333333333333331
```
The higher score in `2` implies that the first two sentences are more similar
than the second two. A classic tale of the love-linked-list.
=============
Uses cosine similarity to give a numerical evaluation of the similarity of two
texts (0 to 1).
This code has a companion blog-post here:
http://engineering.aweber.com/cosine-similarity/
Sample Usage
------------
```python
In [1]: from vectorizer import compare_texts
In [2]: compare_texts('Mary had a little shotgun.', 'Mary loves her shotgun')
Out[2]: 0.66666666666666663
In [3]: compare_texts('John loves Mary.', 'But Mary has a shotgun.')
Out[3]: 0.33333333333333331
```
The higher score in `2` implies that the first two sentences are more similar
than the second two. A classic tale of the love-linked-list.
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