So what she is asking for is a classification solution, to say whether a tweet is a statement or question. I am sure it can be solved, Not sure how :-)
On Fri, Oct 16, 2015 at 8:23 AM, Matthew Taylor <[email protected]> wrote: > Hello NuPIC, > > Here is a question for anyone interested in NLP, Cortical.IO's API, and > phrase classification... > > This tweet from Carin Meier got me thinking last night: > https://twitter.com/gigasquid/status/654802085335068672 > > Could we do this with text fingerprints from Cortical and HTM? What if we > put together a collection of human-gathered "statements" and a list of > "questions". For each phrase, we turned each word into an SDR via > Cortical's API, and train one model on the statement phrases (resetting > sequences between phrases) and one for questions. So we'll have one model > that's only seen statements and one that's only seen phrases. > > If there are typical word patterns that exist mostly in one type of phrase > or another, it may be possible to feed new phrases as SDRs into each model, > and use the lowest anomaly to identify whether it is a statement or > question? > > Does this seem feasible? Is anyone interested in this project? > > Thanks, > > --------- > Matt Taylor > OS Community Flag-Bearer > Numenta > -- Regards Chandan Maruthi
