{
  "id": 228282,
  "title": "Confirmation of Approach: Topic modelling",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/228282",
  "author_name": "",
  "post_date": "2021-03-24T04:24:14.831020500Z",
  "votes": 3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Can we use Latent Dirichlet Allocation(LDA) to solve this problem as this seems a topic modeling problem(assigning topic for dataset title).</p>",
  "messages": [
    {
      "id": "1250470",
      "postDate": "03/24/2021 04:24:14",
      "content": "<p>Can we use Latent Dirichlet Allocation(LDA) to solve this problem as this seems a topic modeling problem(assigning topic for dataset title).</p>",
      "rawMarkdown": "Can we use Latent Dirichlet Allocation(LDA) to solve this problem as this seems a topic modeling problem(assigning topic for dataset title).",
      "votes": null
    },
    {
      "id": "1250478",
      "postDate": "03/24/2021 04:35:48",
      "content": "<p>Could you briefly go over why you think so for us NLP new persons to learn from?</p>",
      "rawMarkdown": "Could you briefly go over why you think so for us NLP new persons to learn from?",
      "votes": null
    },
    {
      "id": "1251709",
      "postDate": "03/25/2021 03:49:40",
      "content": "<p>LDA is used to identify the topic to which a document belongs to, and this is a similar problem where dataset name is the topic to be identified. Cheers</p>",
      "rawMarkdown": "LDA is used to identify the topic to which a document belongs to, and this is a similar problem where dataset name is the topic to be identified. Cheers",
      "votes": null
    },
    {
      "id": "1255103",
      "postDate": "03/28/2021 12:32:16",
      "content": "<p>publication to topic is one-to-many. If we get the exhaustive list of all the topics (dataset labels), then we can use LDA. But here they may some new topics. I feel LDA will be hard sell here.</p>",
      "rawMarkdown": "publication to topic is one-to-many. If we get the exhaustive list of all the topics (dataset labels), then we can use LDA. But here they may some new topics. I feel LDA will be hard sell here.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1250478,
      "author_name": "algebralearner",
      "author_url": "",
      "post_date": "03/24/2021 04:35:48",
      "content": "<p>Could you briefly go over why you think so for us NLP new persons to learn from?</p>",
      "votes": null,
      "replies": [
        {
          "id": 1251709,
          "author_name": "sikarvaar",
          "author_url": "",
          "post_date": "03/25/2021 03:49:40",
          "content": "<p>LDA is used to identify the topic to which a document belongs to, and this is a similar problem where dataset name is the topic to be identified. Cheers</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1255103,
      "author_name": "akm5160",
      "author_url": "",
      "post_date": "03/28/2021 12:32:16",
      "content": "<p>publication to topic is one-to-many. If we get the exhaustive list of all the topics (dataset labels), then we can use LDA. But here they may some new topics. I feel LDA will be hard sell here.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1250470": "Can we use Latent Dirichlet Allocation(LDA) to solve this problem as this seems a topic modeling problem(assigning topic for dataset title).",
    "1250478": "Could you briefly go over why you think so for us NLP new persons to learn from?",
    "1251709": "LDA is used to identify the topic to which a document belongs to, and this is a similar problem where dataset name is the topic to be identified. Cheers",
    "1255103": "publication to topic is one-to-many. If we get the exhaustive list of all the topics (dataset labels), then we can use LDA. But here they may some new topics. I feel LDA will be hard sell here."
  },
  "source": "meta"
}