Text summarization low hanging fruit

Actually all the data required for quite precise text summarization is almost in place, one should just add support for WordNet from nltk into the Open Text Summarizer, calculate frequencies and present highlighted sentences to the user. Or it's possible to do the same in python with nltk iteself.

It would help in many cases for example in mail processing. Getting 200 mails in a day it's really hard to read them through. Or probably it's just time to unsubscribe from some mailing lists.

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