Hi Cohan, you are right! my apologies... I just have sent a new email to [email protected]
Damiano 2016-09-24 16:00 GMT+02:00 Cohan Sujay Carlos <[email protected]>: > Damiano, > > I just wanted to point out that perhaps you didn't realize that you're > posting these questions on the developers' mailing list which is "for > development discussions, patch suggestions, and current issues posted to > the issue tracker for the project." > > There's an OpenNLP users mailing list where you might get better answers > from a larger community of practitioners (the first mailing list in > https://opennlp.apache.org/mail-lists.html). > > Cohan > > > On Sat, Sep 24, 2016 at 7:12 PM, Damiano Porta <[email protected]> > wrote: > > > Hello, > > we need to categorize our documents in 80 sectors. These documents are > > resumes/cv. > > > > We have many documents (more than 30k) but there is a problem. > > Should we try to extract the job positions inside each resume and > > categorize them or can we just add the entire document and categorize it > in > > one or more categories? (max 3 categories) > > > > I think there is a lof o noising data that can give us many false > positives > > if we use the entire document. For example, the personal data, hobbies > etc > > > > BUT > > > > I also know that extract every job position from all the documents will > > take years! > > > > Can anyone give me any workaround ? > > > > Thank you so much! > > Damiano > > >
