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Top Drawer Sausage | Jeremy Tarling's occasional ramblings.Jeremy Tarling's occasional ramblings.
http://www.topdrawersausage.net/
Jeremy Tarling's occasional ramblings.
http://www.topdrawersausage.net/
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UK
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Top Drawer Sausage | Jeremy Tarling's occasional ramblings. | topdrawersausage.net Reviews
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Jeremy Tarling's occasional ramblings.
topdrawersausage.net
querying RDF in Ruby with RDF.rb | Top Drawer Sausage
http://topdrawersausage.net/2014/01/19/querying-rdf-in-ruby-with-rdf-rb
Jeremy Tarling's occasional ramblings. Querying RDF in Ruby with RDF.rb. I recently had to make a tool for work that allowed me to see the linked data graphs that BBC journalists are starting to create as they annotate news content. Ruby is my hacking language of choice so this blog post describes how I used @gkellog’s RDF.rb library. Fetch RDF graphs from the BBC’s linked data platform’s HTTPS API (via Restclient). Parse the data with RDF: Turtle: Reader. Getting data from the API. Require 'restclient' ...
calculating Term Frequency in Ruby | Top Drawer Sausage
http://topdrawersausage.net/2014/08/10/calculating-term-frequency-in-ruby
Jeremy Tarling's occasional ramblings. Calculating Term Frequency in Ruby. 1 read your text into an array of words. Using a simple regex here to ignore anything that doesn’t start with a letter:. Words = File.read("my doc.txt").text.split(/[ A-Za-z]/). For big documents you’ll want to split this e.g. using each line). 2 make a hash of word frequency. Word freq = Hash.new(0) words.each { word word freq[word] = 1 }. Word freq = words.reduce(Hash.new(0) { word, freq word[freq] =1; word}. That’s about ...
Uncategorized | Top Drawer Sausage
http://topdrawersausage.net/category/uncategorized
Jeremy Tarling's occasional ramblings. Medium post: coveredBy and createdBy. Using linked data for editorial curation. This entry was posted in Uncategorized. July 4, 2015. Calculating Term Frequency in Ruby. 1 read your text into an array of words. Using a simple regex here to ignore anything that doesn’t start with a letter:. Words = File.read("my doc.txt").text.split(/[ A-Za-z]/). For big documents you’ll want to split this e.g. using each line). 2 make a hash of word frequency. 4 sort, reverse, enjoy!
jeremytarling | Top Drawer Sausage
http://topdrawersausage.net/author/jeremytarling
Jeremy Tarling's occasional ramblings. Data Architect for BBC News online. Medium post: coveredBy and createdBy. Using linked data for editorial curation. This entry was posted in Uncategorized. July 4, 2015. Calculating Term Frequency in Ruby. 1 read your text into an array of words. Using a simple regex here to ignore anything that doesn’t start with a letter:. Words = File.read("my doc.txt").text.split(/[ A-Za-z]/). For big documents you’ll want to split this e.g. using each line). Hash[term freq....
bbc | Top Drawer Sausage
http://topdrawersausage.net/category/bbc
Jeremy Tarling's occasional ramblings. About a year ago I worked on a public data model for representing news stories as linked data. The model is simple and can be summed up by example in the following RDF statements:. In order to implement that in BBC News I took a strategic decision to allow Storyline instances to be the object (rdfs:domain) of our :about predicates, effectively simplifying the model to enable a journalist to say:. In December 2013 I was fortunate to have Paul Rissen. Events involve p...
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Top Drawer Sausage | Jeremy Tarling's occasional ramblings.
Jeremy Tarling's occasional ramblings. Medium post: coveredBy and createdBy. Using linked data for editorial curation. This entry was posted in Uncategorized. July 4, 2015. Calculating Term Frequency in Ruby. 1 read your text into an array of words. Using a simple regex here to ignore anything that doesn’t start with a letter:. Words = File.read("my doc.txt").text.split(/[ A-Za-z]/). For big documents you’ll want to split this e.g. using each line). 2 make a hash of word frequency. 4 sort, reverse, enjoy!
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