{"action":"closed","issue":{"url":"https://api.github.com/repos/niekveldhuis/Digital-Assyriology/issues/12","repository_url":"https://api.github.com/repos/niekveldhuis/Digital-Assyriology","labels_url":"https://api.github.com/repos/niekveldhuis/Digital-Assyriology/issues/12/labels{/name}","comments_url":"https://api.github.com/repos/niekveldhuis/Digital-Assyriology/issues/12/comments","events_url":"https://api.github.com/repos/niekveldhuis/Digital-Assyriology/issues/12/events","html_url":"https://github.com/niekveldhuis/Digital-Assyriology/issues/12","id":180535665,"number":12,"title":"topic modeling and pos-tags","user":{"login":"niekveldhuis","id":15022349,"avatar_url":"https://avatars.githubusercontent.com/u/15022349?v=3","gravatar_id":"","url":"https://api.github.com/users/niekveldhuis","html_url":"https://github.com/niekveldhuis","followers_url":"https://api.github.com/users/niekveldhuis/followers","following_url":"https://api.github.com/users/niekveldhuis/following{/other_user}","gists_url":"https://api.github.com/users/niekveldhuis/gists{/gist_id}","starred_url":"https://api.github.com/users/niekveldhuis/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/niekveldhuis/subscriptions","organizations_url":"https://api.github.com/users/niekveldhuis/orgs","repos_url":"https://api.github.com/users/niekveldhuis/repos","events_url":"https://api.github.com/users/niekveldhuis/events{/privacy}","received_events_url":"https://api.github.com/users/niekveldhuis/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-10-02T21:11:48Z","updated_at":"2016-10-09T23:45:53Z","closed_at":"2016-10-09T23:45:53Z","body":"[Matthew Jockers](http://www.matthewjockers.net/2013/04/12/secret-recipe-for-topic-modeling-themes/) makes a convincing argument for removing Proper Nouns and all words except nouns from a corpus before running a topic model. In our data set this is relatively simple - you do not need a pos-tagger (part-of-speech tagger), because those tags are already there. The Part of Speech tag is always the last element in a lemmatized word, for instance `Assurbanipal[1]RN` - where RN means royal name, or `bītu[house]N` (N = noun) or `akālu[eat]V` (V = verb). In order to select only Nouns from a Document Term Matrix you can select those column names that end in `]N` - and that is all."}}
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