>
>
> 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
>
>
Hi Hernan,
Really nice. I try it today.
It might be what I need.
I come back if installation pb.
Cheers,
Cédrick
> Le 8 mars 2019 à 03:34, Hernán Morales Durand a
> écrit :
>
> Hi Cédrick,
>
> I wrote some years ago an interface to a named-entity recognizer:
>
> Couldn't find anything in Smalltalk but that should you give ideas and
> inspire you or get you started...
>
> https://github.com/search?q=contact+scraping=Repositories
>
> I guess we have all that's needed in Pharo : parsers (HTML, XML,
> PetitParser), Soup & regex !
Yes for markup, I
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
Hi Cédrick,
I wrote some years ago an interface to a named-entity recognizer:
https://80738163270632.blogspot.com/2015/02/stner-interface-to-stanford-named.html
I think that was Pharo 5, so you may want to check if there are load
problems in current Pharo.
The blogger post didn't parsed
on about pharo is welcome
> Subject: Re: [Pharo-users] Parsing text to discover general data of interest
> (phone, email, address, ...)
>
>
>
>
>>
>> When you say "unstructured material ... is now a standard pattern in
>> PetitParser », how co
From: Pharo-users On Behalf Of Cédrick
Béler
Sent: 07 March 2019 11:20
To: Any question about pharo is welcome
Subject: Re: [Pharo-users] Parsing text to discover general data of interest
(phone, email, address, ...)
When you say "unstructured material ... is now a sta
>
> When you say "unstructured material ... is now a standard pattern in
> PetitParser », how could I begin exploring that ? Any tutorials ?
I’ll load it and play around.
https://github.com/kursjan/petitparser2/blob/master/README.md
>
>> This also assumes that the items of interest are really structured; there
>> could be many ways of writing phone numbers, for instance.
>
> Phone numbers are actually not easy… I see them as a limited sequence of
> number (if not well structure) + eventually the +contrycode).
> I’d like
etitParser », how
could I begin exploring that ? Any tutorials ?
Thanks Peter,
Cédrick
>
> HTH
>
> Peter Kenny
>
> -Original Message-
> From: Pharo-users On Behalf Of Cédrick
> Béler
> Sent: 07 March 2019 09:52
> To: Any question about pharo is welcome
be many ways of writing
phone numbers, for instance.
HTH
Peter Kenny
-Original Message-
From: Pharo-users On Behalf Of Cédrick
Béler
Sent: 07 March 2019 09:52
To: Any question about pharo is welcome
Cc: Tudor Girba
Subject: [Pharo-users] Parsing text to discover general data of interest
--- Begin Message ---
Couldn't find anything in Smalltalk but that should you give ideas and
inspire you or get you started...
https://github.com/search?q=contact+scraping=Repositories
I guess we have all that's needed in Pharo : parsers (HTML, XML,
PetitParser), Soup & regex !
On
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
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