###About Code: SNS.java: provide static methods to use SNS.
SNSServlet.java: Servlet for processing the POST request from SNS which contains sentiment evaluation result.
SentimentLoader.java: Servlet. It returns sentiment data in JSON when getting GET requests.

###TODO:

• Get the ip of the server and subscribe automatically
• Filter the sentiment data when retrieving from db
• Better display sentiment data

Assignment Objectives: ●Use the Amazon SQS service to create a processing queue for the Tweets that are delivered by the Twitter Streaming API
●Use Amazon SNS service to update the status processing on each tweet so the UI can refresh.
●Integrate a third party cloud service API into the Tweet processing flow.

For this assignment you will develop an application that:
●Reads a stream of tweets from the Twitter Live API (Code provided). Note: you might follow a specific topic on the API or get the complete stream
●Records the tweet ID, time, and other relevant elements into a DB (SQL or NoSQL) (2)
●After the tweet is recorded in the DB send a message to the Queue for Asynchronous processing on the text of the tweet (3)
●Presents the Tweet in a map that is being updated in Near Real Time (Consider evaluating WebSockets, or Server Side Events for your implementation)
●The map clusters tweets as to show where is people tweeting the most, according to the sample tweets you get from the streaming API.
●Define a worker pool that will pick up messages from the queue to process. These workers should each run on a separate pool thread.
●Make a call to the sentiment API off your preference (e.g. Alchemy). This can return a positive or negative sentiment evaluation for the text of the submitted Tweet. (4)
●As soon as the tweet is processed send a notification -using SNS- to an HTTP endpoint that will update the UI with the new information about the Tweet. (5)
●Using this information your application should display the Tweet clusters and the overall sentiment. (6)