Ingenia @Ingenia_api
New generation of text analytics: categorizations | personalization | summarization. Made by @retechnica: follow us there for industry news ingeniaapi.com London Joined January 2013-
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We're hiring a Ruby Developer! Work on most interesting problems with great people and see a difference you make: angel.co/retechnica/job…
as search becomes more complex, tech such as machine learning & automatic classification will become ever > important ow.ly/CuTe1
Interesting move MT @archivesmatter: Box will have Retention Mgmt & haveAuto-Classification wordofpie.com/2014/09/09/box… via @piewords
RT @aficionado: RT @rasbt: Predictive modelling, supervisd machine learning & pattern classification: the big picture sebastianraschka.com/Articles/2014_…
:) RT @seanjtaylor: Don't hate the classifier, hate the training data.
Good art from @KMWorldMagazine even if missed us :) Gd view on bizz case, I'd also add the need for bespoke taxonomy ow.ly/AJ1jM
We just found a service that is oh so similar to us but for images. Check it out! @imagga or ow.ly/zuAU1
@trlngslsh it was great to have you part of the team working on @Ingenia_api!
Wow, an article from @joegollner that states people should get excited about quantification of content. We agree! ow.ly/vB7JQ
Wonder how video transcripts are made and maximised? @BPlackisCheng from @cielo24sb tells us all! ow.ly/vAVC8
I found a cool fact of this post ow.ly/vcVXz tks to @hnshah & @jasminehenry10 Get some good ideas here: ow.ly/vcW9J
RT @karlneuberger: RT @ArthurFlam: "Pour des champions français du Big Data" lecercle.lesechos.fr/economie-socie… via @CercleLesEchos. Mention de...
We love #metadata and so does @sparkypob it seems :) ow.ly/uvL1b via @jodbod #linkeddata
@adityabhaskar thanks! Late reply. We can extract anything that relates to the text: sentiment, topic, theme, tone, concepts, entities etc
Very good question MT @thomaspower: Will there be a Chief API Officer asks @simonlporter @IBM
Only 3% of digital data tagged ow.ly/u37gU via @petzoldt
@adityabhaskar Tks! It doesn't use keyword actually :) it's bespoke metadata. Sentiment is a tag for us. Makes sense? What r u thinking off?

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