nasa-jpl-memex/elwha

Name: elwha

Owner: NASA JPL MEMEX

Owner: NASA JPL MEMEX

Description: Elwha is a Java application for monitoring topics, sentiment and events on Twitter streams with the ability to generate notification messages before passing the presence of such events on to some additional workflow.

Created: 2015-07-06 04:43:31.0

Updated: 2018-02-25 23:14:55.0

Pushed: 2015-09-11 19:18:05.0

Homepage: null

Size: 201

Language: Java

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

Elwha

Introduction

Elwha is a Java application for monitoring topics, sentiment and events on Twitter streams with the ability to generate notification messages before passing the presence of such events on to some additional workflow. An example of an additional workflow could be an Apache Nutch crawl, or something similar.

The name Elwha itself relates to the River Elwha, a 45-mile (72 km) river on the Olympic Peninsula in the U.S. state of Washington. From its source at Elwha snowfinger in the Olympic Range of Olympic National Park, it flows generally north to the Strait of Juan de Fuca. Most of the river is in Olympic National Park.

Twitter OAuth Credentials

You will need to setup application credentials so you can use this applications. You can read more about token generation in Twitter's Documentation. After you have followed the instructions and generated your consumer and access keys be sure to update the twitter4j.properties file with this information. You may need to rebuild after making these changes before they take effect.

Build, Installation and Usage

This is a rest.li application using gradle as the build system.

To build for the first time, use gradle 1.8 or greater and run:

le build

You can then run the server with:

gradle JettyRunWar

Once running, you can send a GET request to the server with:

curl http://localhost:8080/elwha-server/elwha/1

Features

License

Elwha is licensed under the Apache License v2.0. A copy of that license is included with this source code.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.