README.md

Hackathon-Fall-2016-Sentiment-Engine

Doodlekit Use Case

Use a cloud based machine learning tool such as IBM Watson or Wolfram Language to analyze sentiment across public information such as Twitter or a public database.  Create an application that uses this in a novel and useful way.  

Application Overview

This application fetches real-time feeds using Meetup's RSVPs with appbase.io which is a hosted data streams API.On the frontend, we use jQuery to create the feed UI and query appbase.io in real-time with different keyword filters. Based on the data fetched from Meetup Sentiment Analysis is done using IBM Bluemix Alchemy API for the comments done for events.

Softwares/Tools Used: Webstorm, Node JS, Javascript, JQuery, appbase.io

API's Used: MeetUp API, Alchemy Sentiment API

About the Application

Initially below screen is visible to user where they have two option Get Location of Events and Get all Fun Events

The MeetUp API is invoked and fetched all the RSVP i.e most happening recent events in city. This data is stored in appbase.io, so that the real-time data is live streamed. This data is displayed in front-ent as shown below.

The fetched event data is also filterd based on topics such as Social,OutDoors etc. as shown below

Also sentiment analysis is done on comments of the events and its respective analysis such as Positive,Negative, Neutral is displayed as shown below.

Also the live streaming events are displayed on Google Maps as shown below

Demo URL: https://youtu.be/QGZibPbqEKY

References

https://www.meetup.com/meetup_api/

http://opensource.appbase.io/