{
  "id": 74886,
  "title": "why dose not the words_vector work?",
  "url": "/competitions/quora-insincere-questions-classification/discussion/74886",
  "author_name": "",
  "post_date": "2018-12-17T03:58:06.575546300Z",
  "votes": -2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>hey guys,\nI built a simple textcnn model and got 0.615, but when i used the wordds vector provided by them i got 0.561......\nI don't konw what happend and can't figue out the reason?</p>\n\n<p>So what should i do to sovle this problem ? </p>",
  "messages": [
    {
      "id": "440113",
      "postDate": "12/17/2018 03:58:06",
      "content": "<p>hey guys,\nI built a simple textcnn model and got 0.615, but when i used the wordds vector provided by them i got 0.561......\nI don't konw what happend and can't figue out the reason?</p>\n\n<p>So what should i do to sovle this problem ? </p>",
      "rawMarkdown": "hey guys,\nI built a simple textcnn model and got 0.615, but when i used the wordds vector provided by them i got 0.561......\nI don't konw what happend and can't figue out the reason?\n\nSo what should i do to sovle this problem ?",
      "votes": null
    },
    {
      "id": "440406",
      "postDate": "12/17/2018 14:11:11",
      "content": "<p>Can you provide us with more info? Which word vectors did you use when you got 0.615? Which for 0.561? Maybe show us some code...</p>\n\n<p>I would also highly recommend looking at some popular kernels to figure out how other people are working on this problem.</p>",
      "rawMarkdown": "Can you provide us with more info? Which word vectors did you use when you got 0.615? Which for 0.561? Maybe show us some code...\n\nI would also highly recommend looking at some popular kernels to figure out how other people are working on this problem.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 440406,
      "author_name": "mschumacher",
      "author_url": "",
      "post_date": "12/17/2018 14:11:11",
      "content": "<p>Can you provide us with more info? Which word vectors did you use when you got 0.615? Which for 0.561? Maybe show us some code...</p>\n\n<p>I would also highly recommend looking at some popular kernels to figure out how other people are working on this problem.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "440113": "hey guys,\nI built a simple textcnn model and got 0.615, but when i used the wordds vector provided by them i got 0.561......\nI don't konw what happend and can't figue out the reason?\n\nSo what should i do to sovle this problem ?",
    "440406": "Can you provide us with more info? Which word vectors did you use when you got 0.615? Which for 0.561? Maybe show us some code...\n\nI would also highly recommend looking at some popular kernels to figure out how other people are working on this problem."
  },
  "source": "meta"
}