Martin Zerbib lemoogle

## widget.js

prism.registerWidget("funnel", {

    name: "funnel",
    family: "Column",
    title: "Funnel",
    iconSmall: "/plugins/funnelWidget/widget-24.png",
    styleEditorTemplate: "/plugins/funnelWidget/styler.html",
    style: {
        isCurved: false,

## eu.topojson

      
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                lemoogle
                / eu.topojson
            
            
              Created
              May 31, 2017 14:03
                — forked from milafrerichs/eu.topojson
            
              
                Simple Map of Europe TopoJSON
              
          
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## README.md

      
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                lemoogle
                / README.md
            
            
              Last active
              August 26, 2015 21:13
            
              
                Parses vita game release dates from gamefaqs, updates reddit wiki page with table.
              
          
    Requirements


Node.js
npm install needle HTTP client
npm install cheerio HTML selector
npm install snoocore reddit api client

Run


## autosuggest_v1.0.js
javascript:(function(){
	/*!
	 * description: Auto Suggestion Bookmarklet v1.0 using IDOL OnDemand's Expand Term v1.0 API & jQuery v1.11.0;
	 * author: Mahesh Kumar RP (mahesh-kumar.r-p@hp.com); Asia Pacific Information Analytics Sales Engineer;
	 * date: 25-April-2014;
	 * comments: Developed for IDOL OnDemand's Ultimate Hacker Challenge;
	 * tested: Works in FireFox v28.0, Google Chrome v34.0 & Internet Explorer v10.0;
	 * usage: select text box in website and click on the AutoSuggest bookmarklet to get suggestion from IOD repository;
	 */

## spherowatchbot.js
var Cylon = require('cylon');
var Twitter = require('twitter');
var iod = require('iod-node')

var iodclient= new iod.IODClient('http://api.idolondemand.com','<yourapikey>')


var twitterclient = new Twitter({
  consumer_key: '<yourconsumerkey>',
  consumer_secret: '<yourconsumersecret>',

## example.rb
require 'httparty'
require 'json'


apikey=""
  texts = [
    "I am a pathetic person",
    "Today is going to be a good day",
    "I wish you were dead"
  ]

## extract.html
<html>
<body>
<form action="extract_handler.php" method="post" enctype="multipart/form-data">
<input type="file" name="file" />
<select name="language">
  <option>en-US</option>
  <option>en-GB</option>
  <option>en-DE</option>
  <option>en-ES</option>
  <option>en-FR</option>

## UpdateSentiment.py
# IDOL on Demand, Vertica Bulk Sentiment update
# This utility uses IoD calls to apply Sentiment analysis to Data held on Vertica
# the results are then passed back up to Vertica in an associated table

# Latency for a single IoD call is about 1.5 seconds, therefore, to increase throughput the utility does the following:

# 1) It submits Asynchronous requests to IoD asking for the sentiment processing.  A secondary call is then
#       submitted to return the results
# 2) It uses multiprocessing - creating a worker pool of sub processes which perform the actual web service calls to IoD
# 3) Finally - standard "inserts" into Vertica are slow, therefore this utility makes use of a (simplified) Python module which

	prism.registerWidget("funnel", {

	name: "funnel",
	family: "Column",
	title: "Funnel",
	iconSmall: "/plugins/funnelWidget/widget-24.png",
	styleEditorTemplate: "/plugins/funnelWidget/styler.html",
	style: {
	isCurved: false,
	javascript:(function(){
	/*!
	* description: Auto Suggestion Bookmarklet v1.0 using IDOL OnDemand's Expand Term v1.0 API & jQuery v1.11.0;
	* author: Mahesh Kumar RP (mahesh-kumar.r-p@hp.com); Asia Pacific Information Analytics Sales Engineer;
	* date: 25-April-2014;
	* comments: Developed for IDOL OnDemand's Ultimate Hacker Challenge;
	* tested: Works in FireFox v28.0, Google Chrome v34.0 & Internet Explorer v10.0;
	* usage: select text box in website and click on the AutoSuggest bookmarklet to get suggestion from IOD repository;
	*/
	var Cylon = require('cylon');
	var Twitter = require('twitter');
	var iod = require('iod-node')

	var iodclient= new iod.IODClient('http://api.idolondemand.com','<yourapikey>')


	var twitterclient = new Twitter({
	consumer_key: '<yourconsumerkey>',
	consumer_secret: '<yourconsumersecret>',
	require 'httparty'
	require 'json'


	apikey=""
	texts = [
	"I am a pathetic person",
	"Today is going to be a good day",
	"I wish you were dead"
	]
	<html>
	<body>
	<form action="extract_handler.php" method="post" enctype="multipart/form-data">
	<input type="file" name="file" />
	<select name="language">
	<option>en-US</option>
	<option>en-GB</option>
	<option>en-DE</option>
	<option>en-ES</option>
	<option>en-FR</option>
	# IDOL on Demand, Vertica Bulk Sentiment update
	# This utility uses IoD calls to apply Sentiment analysis to Data held on Vertica
	# the results are then passed back up to Vertica in an associated table

	# Latency for a single IoD call is about 1.5 seconds, therefore, to increase throughput the utility does the following:

	# 1) It submits Asynchronous requests to IoD asking for the sentiment processing. A secondary call is then
	# submitted to return the results
	# 2) It uses multiprocessing - creating a worker pool of sub processes which perform the actual web service calls to IoD
	# 3) Finally - standard "inserts" into Vertica are slow, therefore this utility makes use of a (simplified) Python module which