Algorithm to match natural text in mail

Posted by snøreven on Stack Overflow See other posts from Stack Overflow or by snøreven
Published on 2012-04-06T16:44:00Z Indexed on 2012/04/06 17:29 UTC
Read the original article Hit count: 262

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python

|

regex

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algorithm

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nlp

I need to separate natural, coherent text/sentences in emails from lists, signatures, greetings and so on before further processing.

example:

Hi tom,

last monday we did bla bla, lore Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua.

list item 2

list item 3

list item 3

Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid x ea commodi consequat. Quis aute iure reprehenderit in voluptate velit

regards, K.

---line-of-funny-characters-#######

example inc.

33 evil street, london

mobile: 00 234534/234345

Ideally the algorithm would match only the bold parts.

Is there any recommended approach - or are there even existing algorithms for that problem? Should I try approximate regular expressions or more statistical stuff based on number of punctation marks, length and so on?

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