{"action":"created","issue":{"url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/issues/69","labels_url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/issues/69/labels{/name}","comments_url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/issues/69/comments","events_url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/issues/69/events","html_url":"https://github.com/UUDigitalHumanitieslab/texcavator/issues/69","id":107671460,"number":69,"title":"TF-IDF based word clouds","user":{"login":"PimHuijnen","id":7008958,"avatar_url":"https://avatars.githubusercontent.com/u/7008958?v=3","gravatar_id":"","url":"https://api.github.com/users/PimHuijnen","html_url":"https://github.com/PimHuijnen","followers_url":"https://api.github.com/users/PimHuijnen/followers","following_url":"https://api.github.com/users/PimHuijnen/following{/other_user}","gists_url":"https://api.github.com/users/PimHuijnen/gists{/gist_id}","starred_url":"https://api.github.com/users/PimHuijnen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/PimHuijnen/subscriptions","organizations_url":"https://api.github.com/users/PimHuijnen/orgs","repos_url":"https://api.github.com/users/PimHuijnen/repos","events_url":"https://api.github.com/users/PimHuijnen/events{/privacy}","received_events_url":"https://api.github.com/users/PimHuijnen/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2015-09-22T09:00:00Z","updated_at":"2015-09-22T12:05:19Z","closed_at":null,"body":"In addition to our word clouds based on absolute frequency, I would like to use TF-IDF based word clouds. We use word clouds as a form of visualisation to give insight in the 'context' of a certain domain (query). As it is now, the underlying assumption is that raw frequencies of word use are most telling for this context. In my opinion, a TF-IDF score would result in an equally good - if not better - way to give an idea of the particular context of a query.\r\n\r\nTo implement this, we could use a word list based on all Dutch national, 20th century newspapers and determine the TF-IDF score of individual queries against this standard dictionary. Ideally, the user should have the option to build word clouds based on frequency or on TF-IDF."},"comment":{"url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/issues/comments/142268806","html_url":"https://github.com/UUDigitalHumanitieslab/texcavator/issues/69#issuecomment-142268806","issue_url":"https://api.github.com/repos/UUDigitalHumanitieslab/texcavator/issues/69","id":142268806,"user":{"login":"PimHuijnen","id":7008958,"avatar_url":"https://avatars.githubusercontent.com/u/7008958?v=3","gravatar_id":"","url":"https://api.github.com/users/PimHuijnen","html_url":"https://github.com/PimHuijnen","followers_url":"https://api.github.com/users/PimHuijnen/followers","following_url":"https://api.github.com/users/PimHuijnen/following{/other_user}","gists_url":"https://api.github.com/users/PimHuijnen/gists{/gist_id}","starred_url":"https://api.github.com/users/PimHuijnen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/PimHuijnen/subscriptions","organizations_url":"https://api.github.com/users/PimHuijnen/orgs","repos_url":"https://api.github.com/users/PimHuijnen/repos","events_url":"https://api.github.com/users/PimHuijnen/events{/privacy}","received_events_url":"https://api.github.com/users/PimHuijnen/received_events","type":"User","site_admin":false},"created_at":"2015-09-22T12:05:19Z","updated_at":"2015-09-22T12:05:19Z","body":"Spot on!"}}