def classify(self, results):
        """Classifies the results set by adding a "tag" attribute to each of the results.

    The same set of results are returned, with additional statistics and tagging.
    Each result gets one of the tags :), :( or :|
    And a stats section is added.

    @return an annotated array of results.
    [{"tag": "pos",
      "iso_language_code": "en",
      "text": "@chucklelate im not that excited about google voice. although it seems neat, i dont see myself using it.",
      "created_at": "Sat, 14 Mar 2009 00:00:03 +0000",
      "profile_image_url": "http:\/\/s3.amazonaws.com\/twitter_production\/profile_images\/80373954\/IMG_0008_normal.JPG",
      "to_user": "******",
      "source": "<a href="http:\/\/twitter.com\/">web<\/a>",
      "from_user": "******",
      "from_user_id": 5160745,
      "to_user_id": 409063,
      "id": 1324759664},...],
    """
        c = BayesianClassifier()
        c.train(db.fetch_all_tweets())
        for result in results:
            tag = c.classify(result['text'])
            result['tag'] = tag

        return results
Exemple #2
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  def classify(self, results):
    """Classifies the results set by adding a "tag" attribute to each of the results.

    The same set of results are returned, with additional statistics and tagging.
    Each result gets one of the tags :), :( or :|
    And a stats section is added.

    @return an annotated array of results.
    [{"tag": "pos",
      "iso_language_code": "en",
      "text": "@chucklelate im not that excited about google voice. although it seems neat, i dont see myself using it.",
      "created_at": "Sat, 14 Mar 2009 00:00:03 +0000",
      "profile_image_url": "http:\/\/s3.amazonaws.com\/twitter_production\/profile_images\/80373954\/IMG_0008_normal.JPG",
      "to_user": "******",
      "source": "<a href="http:\/\/twitter.com\/">web<\/a>",
      "from_user": "******",
      "from_user_id": 5160745,
      "to_user_id": 409063,
      "id": 1324759664},...],
    """
    c = BayesianClassifier()
    c.train(db.fetch_all_tweets())
    for result in results:
      tag = c.classify(result['text'])
      result['tag'] = tag

    return results
Exemple #3
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 def get(self):
   tweets = db.fetch_all_tweets()
   template_values = {'tweets': tweets}
   path = os.path.join(os.path.dirname(__file__), 'dbdrop.html')
   self.response.out.write(template.render(path, template_values))
Exemple #4
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 def get(self):
     tweets = db.fetch_all_tweets()
     template_values = {'tweets': tweets}
     path = os.path.join(os.path.dirname(__file__), 'dbdrop.html')
     self.response.out.write(template.render(path, template_values))