/** Machine Learning Web Service - returns the all Tweets */
  @WebMethod(operationName = "updateUnclassifiedCountryTweet")
  public String updateUnclassifiedCountryTweet(
      @WebParam(name = "tweet_id") int tweet_id,
      @WebParam(name = "content") String content,
      @WebParam(name = "sentiment_relevance") String sentiment_relevance,
      @WebParam(name = "is_english") String is_english,
      @WebParam(name = "relevant") String relevant,
      @WebParam(name = "subjectivity") String subjectivity,
      @WebParam(name = "is_neutral") String is_neutral,
      @WebParam(name = "sentiment") String sentiment,
      @WebParam(name = "growth_recession") String growth_recession,
      @WebParam(name = "political_stability") String political_stability)
      throws NamingException, SQLException {

    DBMachineLearningOperations.updateUnclassifiedCountryTweet(
        tweet_id,
        content,
        sentiment_relevance,
        is_english,
        relevant,
        subjectivity,
        is_neutral,
        sentiment,
        growth_recession,
        political_stability);

    return "Updated Successfully";
  }
 /** Machine Learning Web Service - returns the all Tweets */
 @WebMethod(operationName = "getAllClassifiedCountryTweets")
 public Vector<MachineLearningItem> getAllClassifiedCountryTweets()
     throws NamingException, SQLException {
   return DBMachineLearningOperations.getAllClassifiedCountryTweets();
 }
 /** Machine Learning Web Service - returns the count of all the different labels */
 @WebMethod(operationName = "getTotalsForMachineLearningCompanyData")
 public SentimentRow getTotalsForMachineLearningCompanyData()
     throws NamingException, SQLException {
   return DBMachineLearningOperations.getTotalsForMachineLearningCompanyData();
 }