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hansdezwart

Visualizing 100 #LAK11 tweets from Twitter | Blue Light District - 1 views

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    After visualizing chat room dialogue earlier this week, I thought it might be neat to try and visualize some Twitter dialogue from the #LAK11 course.  For some reason I thought it would be simple to extract tweets from Twitter for analysis.  It wasn't!  So if you happen to know an easier way please leave a comment.
Tony Searl

Unstructured data is worth the effort when you've got the right tools - O'Reilly Radar - 2 views

  • With regard to the challenges, enterprise data is very messy, inconsistent, and spread out across multiple internal systems and applications. APIs like the ones we're working on can bring consistency and structure to a company's legacy data.
  • entity relation extraction is an important trend.
  • Entity relation extraction helps detect new knowledge in big data.
  • ...1 more annotation...
  • Other trends include detecting sentiment in social data, integrating multiple languages, and applying text analytics to audio and video transcripts.
hansdezwart

Awesome: DIY Data Tool Needlebase Now Available to Everyone - 0 views

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    Needlebase allows you to view web pages through a virtual browser, point and click to train it in understanding what fields on that page are of interest to you and how those fields relate to each other. Then the program goes and scrapes the data from all of those fields, publishes them into a table, list or map, and recommends merges of cells that appear to be mistakenly separate. It's very cool and it lets non-technical people do things with data quickly and easily that we used to require the assistance of someone more technical to do.
Media Lab

wiki.dbpedia.org: Acerca de - 1 views

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    DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.
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