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Peter Kraniak
  • Detroit, MI
  • United States
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At 1:28am on November 12, 2014, Scott Mongeau said…

Hi Peter,

OK - this type of solution can be prototyped with text mining via Python or R.  It is interesting to mix text analytics with graph / network analysis (also can be done in R).  For enterprise scale, likely want to use supported and scalable tools such as SAS Text Miner working with a graph database like Neo4J (if wanting to mix text analytics with graph analysis, i.e. mixing parsing text for meaning and categorizing with examining a user's positional importance in a social network and/or discussion thread).   For very large volumes, might consider a Hadoop architecture, with attention to ETL / import-output engineering (this can have a high overhead in Hadoop implementations).  Hortonworks looking good as emerging commercial Hadoop árchitecture'...  Good luck!  I am currently with Deloitte, so not sure if you have appetite for commercial consulting, but always happy to discuss if so!

- Scott


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