Thanks for your concern, I am yet to write my proposal for My PHD, may be all the subfields listed is involved. I have an thought in my mind. Let me see how far i can go. Again i will come back with other question next week. Have nice week end. Enjoy your research.
My background and training is in psychometrics (something like the engineering of psychological and education tests). The main steps in developing a (written) test are:
define the domain
write items
administer items to a large pretest sample
analyze the response data to determine good and bad items; discard the bad items
Virtually all of the psychometric methods have been developed for step 4, but I became interested in using NLP methods to analyze the items written in step 2 before they were pretested because pretesting is hugely costly (and I find the NLP methodology inherently interesting).
So, if you have interests along those lines, I and some of my colleagues might be interested in collaborations. For example, one of my doctoral students compared traditional approaches to personality scale development to using LSA to find items that reflected written descriptions of the domain. I've also worked on generating items for ability tests.
May I kindly ask you whether you mean NLP = Neurolinguistic Programming (which seems to be the understanding of Alan Mead) or NLP = Natural Language Processing (which I think your interest is in, given the topic selection)?
There are so many sub fields of Natural Language Processing, "Named Entity Recognition" in one of them. I am also M. Phil student and my research area is same.
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For NLP, Research Experience - Natural Language Processing might be an interesting read for you to get a better collaboration.
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