stormtweetssentimentd3viz | sentiment analysis of tweets of US States

StormTweetsSentimentD3Viz is a Java library. StormTweetsSentimentD3Viz has no bugs, it has no vulnerabilities and it has low support. However StormTweetsSentimentD3Viz build file is not available and it has a Non-SPDX License. You can download it from GitLab.

This repository contains an application which is built to demonstrate as an example of Apache Storm distributed framework by performing sentiment analysis of tweets originating from U.S. in real-time. This Topology retrieves tweets originating from US and computes and visualizes the sentiment scores of each of the state of United States [based on tweets] in a Choropleth Map using D3.js continuously for 10 minutes [in local mode]. User can also explicitly kill the topology by pressing Ctrl+C for exiting the application. Also, there is a column chart visualization of each State and its sentiment value using Highcharts. Apache Storm is an open source distributed real-time computation system, developed at BackType by Nathan Marz and team. It has been open sourced by Twitter [post BackType acquisition] in August, 2011. And became a top level project in Apache on 29th September, 2014. This application has been developed and tested with Storm v0.8.2 on Windows 7 in local mode; and was eventually updated and tested with Storm v0.9.3 on 28th December, 2014. Application may or may not work with earlier or later versions than Storm v0.9.3.