What Ben said -- you should run your data through the NLP pipeline. On Mon, Sep 12, 2016 at 5:50 PM, <[email protected]> wrote:
> Hi Linas, > > > (EvaluationLink > (PredicateNode "sentence, location and body") > (ListLink > (EvaluationLink > (PredicateNode "coordinates, country, continent, body") > (ListLink > (WordNode "-86.3222") > (WordNode "32.3934") > (WordNode "US" ) > (WordNode "northamerica") > (WordNode ".....we need a new channel trump tv!!.....") > > )))) > > > 1. Do you mean something like this? How the input should be? (i > tried giving it, but it says unbound variable "WordNode") > 2. If i have say for ex, > 1. (....(WordNode "US") (WordNode "trump is a candidate") ....) > 2. (....(WordNode "US") (WordNode "trump tv") ....) > 3. (....(WordNode "US") (WordNode " trump wins ") ....) > 4. (....(WordNode "US") (WordNode " trump president?") ....) > > will it find that sentences that have "trump" always comes from > US?(.. (wordNode "US") (WordNode "Trump")...). > > Any guidelines would be helpful > > Thanks in advance, > Vishnu > > > > On Saturday, 10 September 2016 04:37:09 UTC+2, linas wrote: >> >> Hi, >> >> >> On Wed, Sep 7, 2016 at 4:57 AM, <[email protected]> wrote: >> >>> >>> I think, i should do the following (?!) >>> >>> write probably a python script that produces the following output for >>> every json file: >>> >>> (EvaluationLink >>> (PredicateNode "sentence, location and body") >>> (ListLink >>> (SentenceNode "an unique string ") >>> (EvaluationLink >>> (PredicateNode " coordinates, country, continent, body") >>> (ListLink >>> (ConceptNode "-86.3222") >>> (ConceptNode "32.3934") >>> (ConceptNode "US" ) >>> (ConceptNode "northamerica") >>> (ConceptNode ".....we need a new channel trump >>> tv!!.....) >>> . >>> . >>> . ))) >>> >>> >>> Then i can give this to pattern miner. >>> >>> Am i missing anything here? >>> >> >> Well, the pattern miner won't perform any parsing of the sentences for >> you, so the most likely thing it will do is find that there's lots of >> things with (ConceptNode "US" ) in them, and that this is highly >> correlated with (ConceptNode "northamerica") After that, it might find >> patterns in the lat/log. It does NOT do any string compares of the names >> of any nodes. >> >> Unless you put at least WordNodes in there, you will get no text analysis. >> >> --linas >> >> >>> >>> >>> Thanks in advance. >>> >>> >>> >>> On Tuesday, September 6, 2016 at 4:05:43 PM UTC+2, [email protected] >>> wrote: >>>> >>>> Hello all, >>>> >>>> I have attached a small example Json file, which is generated from >>>>>> twitter stream. I will be getting lots of Json chunks like this. How can >>>>>> i >>>>>> give this to pattern miner. i.e. can i convert it to hypergraph? What are >>>>>> the steps involved?. what would be the best way to start with. >>>>>> >>>>> Any guidelines would be very much helpful. >>>>> >>>> >>>> Thanks in advance >>>> >>> >> -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CAHrUA35wKGA5%2BW0FZi63szJuM0aF95JyAAyLpZqBt5JXDqLz0Q%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
