{"action":"created","issue":{"url":"https://api.github.com/repos/suhasbhairav/JuliaMachineLearning/issues/2","labels_url":"https://api.github.com/repos/suhasbhairav/JuliaMachineLearning/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/suhasbhairav/JuliaMachineLearning/issues/2/comments","events_url":"https://api.github.com/repos/suhasbhairav/JuliaMachineLearning/issues/2/events","html_url":"https://github.com/suhasbhairav/JuliaMachineLearning/issues/2","id":76723058,"number":2,"title":"complete the initial test assignment","user":{"login":"alexanderpanchenko","id":1456830,"avatar_url":"https://avatars.githubusercontent.com/u/1456830?v=3","gravatar_id":"","url":"https://api.github.com/users/alexanderpanchenko","html_url":"https://github.com/alexanderpanchenko","followers_url":"https://api.github.com/users/alexanderpanchenko/followers","following_url":"https://api.github.com/users/alexanderpanchenko/following{/other_user}","gists_url":"https://api.github.com/users/alexanderpanchenko/gists{/gist_id}","starred_url":"https://api.github.com/users/alexanderpanchenko/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/alexanderpanchenko/subscriptions","organizations_url":"https://api.github.com/users/alexanderpanchenko/orgs","repos_url":"https://api.github.com/users/alexanderpanchenko/repos","events_url":"https://api.github.com/users/alexanderpanchenko/events{/privacy}","received_events_url":"https://api.github.com/users/alexanderpanchenko/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":{"login":"suhasbhairav","id":1701450,"avatar_url":"https://avatars.githubusercontent.com/u/1701450?v=3","gravatar_id":"","url":"https://api.github.com/users/suhasbhairav","html_url":"https://github.com/suhasbhairav","followers_url":"https://api.github.com/users/suhasbhairav/followers","following_url":"https://api.github.com/users/suhasbhairav/following{/other_user}","gists_url":"https://api.github.com/users/suhasbhairav/gists{/gist_id}","starred_url":"https://api.github.com/users/suhasbhairav/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/suhasbhairav/subscriptions","organizations_url":"https://api.github.com/users/suhasbhairav/orgs","repos_url":"https://api.github.com/users/suhasbhairav/repos","events_url":"https://api.github.com/users/suhasbhairav/events{/privacy}","received_events_url":"https://api.github.com/users/suhasbhairav/received_events","type":"User","site_admin":false},"milestone":null,"comments":13,"created_at":"2015-05-15T13:14:49Z","updated_at":"2015-06-10T08:08:19Z","closed_at":null,"body":""},"comment":{"url":"https://api.github.com/repos/suhasbhairav/JuliaMachineLearning/issues/comments/110644075","html_url":"https://github.com/suhasbhairav/JuliaMachineLearning/issues/2#issuecomment-110644075","issue_url":"https://api.github.com/repos/suhasbhairav/JuliaMachineLearning/issues/2","id":110644075,"user":{"login":"suhasbhairav","id":1701450,"avatar_url":"https://avatars.githubusercontent.com/u/1701450?v=3","gravatar_id":"","url":"https://api.github.com/users/suhasbhairav","html_url":"https://github.com/suhasbhairav","followers_url":"https://api.github.com/users/suhasbhairav/followers","following_url":"https://api.github.com/users/suhasbhairav/following{/other_user}","gists_url":"https://api.github.com/users/suhasbhairav/gists{/gist_id}","starred_url":"https://api.github.com/users/suhasbhairav/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/suhasbhairav/subscriptions","organizations_url":"https://api.github.com/users/suhasbhairav/orgs","repos_url":"https://api.github.com/users/suhasbhairav/repos","events_url":"https://api.github.com/users/suhasbhairav/events{/privacy}","received_events_url":"https://api.github.com/users/suhasbhairav/received_events","type":"User","site_admin":false},"created_at":"2015-06-10T08:08:19Z","updated_at":"2015-06-10T08:08:19Z","body":"When I hard-coded the sense-id as 1, I got the following result for python:\r\n\r\n Word    Similar_Word    Sense_id    Semantic_Similarity\r\n  python  monty   1   0.82676554\r\n  python  circus  2   0.705449\r\n  python  spamalot    1   0.6888363\r\n  python  python  4   0.62203336\r\n  python  magoo   1   0.59078217\r\n  python  goon    2   0.5877628\r\n  python  muppet  1   0.57743365\r\n  python  snoopy  2   0.5751824\r\n  python  featurette  1   0.57119817\r\n  python  disney  3   0.56865895\r\n  python  tunes   1   0.5669714\r\n  python  classic 5   0.56335\r\n  python  shorts  2   0.5625763\r\n  python  apocalypse  4   0.5609031\r\n  python  spoofs  1   0.5517615\r\n  python  cartoons    1   0.547944\r\n  python  goons   2   0.54751813\r\n  python  zorro   1   0.54508185\r\n  python  scream  3   0.54359245\r\n  python  silly   2   0.5412111\r\n  python  damned  2   0.5386771\r\n  python  hound   1   0.5378207\r\n  python  terrytoons  1   0.5345945\r\n  python  mickey  2   0.53423274\r\n  python  gilliam 1   0.53375655\r\n  python  caddyshack  1   0.53284425\r\n  python  sketches    1   0.5327364\r\n  python  flintstones 1   0.5324208\r\n  python  mighty  4   0.53237927\r\n  python  mouse   2   0.5304124\r\n  python  muppets 1   0.53000444\r\n  python  idle    2   0.52875674\r\n  python  goolies 1   0.5273988\r\n  python  rutles  1   0.5273717\r\n  python  catdog  1   0.526759\r\n  python  trainspotting   1   0.5266039\r\n  python  incredibles 1   0.5258767\r\n  python  pinocchio   1   0.52492064\r\n  python  goodfellas  1   0.523694\r\n  python  plissken    1   0.5234212\r\n  python  schmo   1   0.5198395\r\n  python  sctv    1   0.5197583\r\n  python  amuck   1   0.5188393\r\n  python  gremlins    1   0.51720643\r\n  python  wicked  3   0.5164097\r\n  python  untouchables    2   0.5160315\r\n  python  parodies    1   0.51524407\r\n  python  cat 1   0.5151613\r\n  python  zombie  2   0.5145425\r\n  python  xanadu  1   0.5143736\r\n\r\n\r\nFor sense-id 2:\r\n\r\nWord    Similar_Word    Sense_id    Semantic_Similarity\r\n python  perl    1   0.963531\r\n python  php 2   0.9427985\r\n python  java    4   0.9325269\r\n python  smalltalk   1   0.92175865\r\n python  ruby    2   0.9209487\r\n python  lua 1   0.92078596\r\n python  tcl 1   0.9143377\r\n python  scripting   1   0.9073298\r\n python  javascript  1   0.8981713\r\n python  bindings    1   0.8972165\r\n python  programming 4   0.89583385\r\n python  coldfusion  1   0.88844144\r\n python  compiler    1   0.8870776\r\n python  actionscript    1   0.88700175\r\n python  net 4   0.88353175\r\n python  lisp    1   0.8820889\r\n python  vbscript    1   0.88181305\r\n python  api 1   0.87945586\r\n python  compilers   1   0.87417775\r\n python  bytecode    1   0.8737606\r\n python  gcj 1   0.87300223\r\n python  apis    1   0.8704994\r\n python  matlab  1   0.8700731\r\n python  extensions  1   0.8696916\r\n python  gtk 1   0.86936206\r\n python  script  1   0.8690319\r\n python  applescript 1   0.8678212\r\n python  rexx    1   0.8662936\r\n python  debugger    1   0.8653075\r\n python  haskell 3   0.8647504\r\n python  ui  2   0.86432767\r\n python  scripts 1   0.8642422\r\n python  e4x 1   0.8629726\r\n python  syntax  1   0.86278903\r\n python  ocaml   1   0.8625039\r\n python  native  5   0.86072433\r\n python  frontend    1   0.86038023\r\n python  fortran 1   0.85815066\r\n python  basic   4   0.85807514\r\n python  mysql   1   0.8573563\r\n python  ecmascript  1   0.8565386\r\n python  runtime 1   0.85644\r\n python  interpreter 1   0.8535849\r\n python  jvm 1   0.8526745\r\n python  cli 1   0.85231125\r\n python  cfml    1   0.8518772\r\n python  jsp 1   0.85093564\r\n python  implementation  1   0.8501564\r\n python  prolog  1   0.8500019\r\n python  wpf 1   0.84989613"}}