Python re match, findall or search and then NLP (what to do with it?)?

The reason why m.match() fails is that it expects the match to start at the beginning of the string.

The reason why m.match() fails is that it expects the match to start at the beginning of the string. Findall() makes sense if you expect more than one (non-overlapping) match in your string. Otherwise, use the search() method (which will return the first match it finds).

This is all well covered in the docs.

From my knowledge of search interfaces, it seems like you'd need an awful lot of regular expressions to capture the great variety of ways in which people express themselves. For a feeling for just how many, see this writeup on "the vocabulary problem". So, if you're just doing date/time stuff, and you're tying very specific actions to them that it would suck to get wrong, then RE's seem like a good way to go.

On the other hand, if you're just trying to detect a "date" expression vs. e.g. An "email" expression or a "note" expression, then perhaps it might be worth a try to POS-tag the sentences using NLTK and match patterns on the part of speech level.

I cant really gove you an answer,but what I can give you is a way to a solution, that is you have to find the anglde that you relate to or peaks your interest. A good paper is one that people get drawn into because it reaches them ln some way.As for me WW11 to me, I think of the holocaust and the effect it had on the survivors, their families and those who stood by and did nothing until it was too late.