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Posted to users@opennlp.apache.org by Yasen Kiprov <ya...@sentimentmetrics.com> on 2014/01/21 10:45:48 UTC
Sentence detection for user generated content
Hello,
Has anyone tried training the sentence detector on user generated
content - tweets, facebook or forum posts? Is there a model available
for the purpose? With the default models I see lots of errors with
things like ...... , ?!!?!! , !!!, and also with incomplete sentences.
All the best,
Yasen
SV: Sentence detection for user generated content
Posted by Svetoslav Marinov <sv...@findwise.com>.
You should not use the general models especially for such data like tweets and Facebook! They are trained using a completely different set of data. No wonder you get a lot of errors.
My advice is to create a training set and retrain the sentence detector. It will get much better and then you will most probably need 3 models - 1 for tweets, 1 for FB and one for blogs. The underlying data can be quite different in all of these.
But maybe someone has some models that they can freely distribute…
Hope this helps.
Поздрави,
Светослав
________________________________________
Från: Yasen Kiprov <ya...@sentimentmetrics.com>
Skickat: den 21 januari 2014 10:45
Till: users@opennlp.apache.org
Ämne: Sentence detection for user generated content
Hello,
Has anyone tried training the sentence detector on user generated
content - tweets, facebook or forum posts? Is there a model available
for the purpose? With the default models I see lots of errors with
things like ...... , ?!!?!! , !!!, and also with incomplete sentences.
All the best,
Yasen