getNouns() is not accurate

[dimavolo]

Thanks for this useful library! I noticed the getNouns() function is not accurate.

For example:

Please give this note to the man in the blue hat.

Returns the following nouns:

["give","note","man","blue","hat"]

It's true the word 'give' can sometimes be a noun, such as when a material has 'some give', but in this sentence, and 99% of the time, it's a verb.

Here's another simple example:

Can you ask her what time it is?

WordPos returns the following as nouns:

["Can","time"]

But of course a sentence starting with 'Can' does not refer to a metal container. And it skips the pronoun.

Would it be possible to improve the accuracy of getNouns()? I realize the answer might be no, as NLP like this is very hard.

Thanks!

[moos]

Hi -- I get this question a lot. I think I need to make the disclaimer in the README more prominent:

This has no relation to correct grammar of given sentence, where here only 'bear' and 'squirrel' would be considered nouns.

WordNet is just a lexicographic database of words -- there is no NLP here. The results you get from wordpos are the same as those from WordNet online.

[AusPrinzip]

All plural nouns will return as false. Tested with "cars" and "waves"

[moos]

@AusPrinzip wordpos is an interface only for WordNet. To get other features use natural's full library, e.g. http://naturalnode.github.io/natural/inflectors.html#nouns