I have been playing with lda2vec, Gensim and other great tools but so far have not been able to satisfy this story

As a user wanting to know the subjects in a PDF I found, I want words examined for inter- and intra-document proximity and I want them to be located in a taxonomy I am familiar with (a social science taxonomy). Hopefully there are hyperparameters I can tune so the system performs as expected in my field. As an example, a PDF that talks about initmate partner violence, elder abuse and child welfare should be among terms identified as high salience, then matched into part of the (huge) taxonomy that looks possibly like this

Domestic violence
Family violence
  Initimate partner violence
  Victims of family violence
    Elder abuse
  Violence against women

And the (highest common) hypernym Domestic violence is output as a subject. Note that the PDF does not have the words Domestic violence in it at all. So far in the above tools I get word clusters, but it doesn't have supervised training to know hypernyms.

Thanks so much in advance Craig

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.