{
  "fetched_at": "2026-10-24T11:25:42Z",
  "source_url": "https://www.kaggle.com/competitions/cs475-sp21-hw3/data",
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      "name": "Description",
      "content": "<p>In this problem, we will develop a sentiment analysis tool. We have provided a data set containing short customer reviews, or snippets of reviews, for products. Each has been labeled as a positive or negative review. For instance, below is an example of a positive review\n</p>\n<pre>&lt;p&gt;i downloaded a trial version of computer associates ez firewall and antivirus and fell in love with a computer security system all over again&lt;/p&gt;</pre>\n<p>and a negative one</p>\n<pre>&lt;p&gt;i dont especially like how music files are unstructured ; basically they are just dumped into one folder with no organization , like you might have in windows explorer folders and subfolders&lt;/p&gt;</pre>\n<p>from the training set. We will use Support Vector Machines to learn to classify such review sentences into positive and negative classes.\n\nWe will use the word occurrence features: if a particular word (or more generally, a token, which may include punctuation, numbers, etc.) w occurs in an example, the corresponding feature is set to 1, otherwise to 0.</p>",
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      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is classification accuracy.\n</p>",
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      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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