/** 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();
}