You say that named entity recognition is not generalised beyond Mail,

but the support library is there for anyone to use.�� See for

example https://developer.apple.com/documentation/foundation/nslinguistictagger/identifying_people_places_and_organizations

In Python, you can use NLTK to do roughly the same.

There's no real point in reimplementing this stuff in Pharo.

Just set up a separate process, send text to it, and receive

results back.

On Thu, 7 Mar 2019 at 22:53, C��drick B��ler <cdrick65@gmail.com> wrote:

Hi all,

I��ve often got the need to analyse some random unstructured text to discover (structured) information (in email for instance), to extract :
- emails
- telephone numbers
- addresses
- events
- person names (according to a list of known persons),
- etc��

Apple do it in email for instance (strangely, this is not generalized).

So my questions are :
- do we have something equivalent in Smalltalk/Pharo ? (I didn��t find)
- if not, what strategy would you use ?
=> I do really stupid text analysis (substrings, finding @, ��, parsing according to the text structure when there is�� kind of Soup parsing��)
=> I feel this is a job for PetitParser ? And would be a nice feet to the new GToolkit.

All ideas or suggestions are welcome ;-)

TIA,

C��drick