There is a lot of cynical thinking ascribed to the position set out by Mark Zuckerberg on the regulation of Facebook and other online platforms. In this instance, he is absolutely right. This is not a new problem. Lawrence Lessig was among those to make clear, long before Facebook and Twitter were born, that some balance of regulatory mechanisms must be struck to prevent the overpowering rise of “architecture” embedded in software code. This video (posted June 1, 2015) about “Code and Other Laws of Cyberspace” is our Lawrence Lessig-inspired answer to the challenge of how to think about regulation in this case.

Boolean defined search, n-grams, word clouds, and custom topic dictionaries are power tools for text analysis and machine-learning

Discover central topics and also elusive but valuable unexpected or rare concepts. Use this information to train machine-learning classifiers to recognize relevant text and social media data. Jump into data using an interactive word CloudExplorer or build a mini topic dictionary using “defined” search. Try our new listview for seeing the top 300 bigrams and trigrams in your data

Start a Free Trial

DiscoverText is Powered by uClassify

Create gold standard training sets using our state of the art collaborative annotation system and then use our machine learning web service (uClassify) to create and apply your own custom-trained text classifiers. Check out the great work being done by the uClassify community.