On Wed, Oct 12, 2016 at 9:48 AM, vishnu <vishnupriya...@gmail.com> wrote:
> With attention values, i thought i could do the following:
> I have 24x7 tweets coming. So i thought, I can send them to NLP pipeline
> and get Atoms. Let's say most of the people tweet about Presidential
> Election. I assumed that, when feeding these atoms into atomspace,
> somehow atoms related to "Election" will get High STI?. Since they occur
> more often now-a-days. Say, there will be a lot of Trump and Hilary Clinton
> atoms. Somehow they get high STI (?!!) and i can retrieve those top ranked
> atoms and its related atoms (since STI is also diffused to similar atoms).
Well, a very olde-fshioned idea (olde in "internet time") is to PageRank
algorithm -- https://en.wikipedia.org/wiki/PageRank -- and so you would
take something like STI, and diffuse it to other atoms, based on how many
incoming and outgoing links there are.
ECAN does something like PageRank, but different, I don't recall what the
differences are. If you don't like how it distributes the STI, you could
create a different variant-- e.g. a PageRankImportanceDiffussionAgent and
it would use the pagerank algo, instead of the ECAN algo. I don't know
which would give better results for you.
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