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A node modules that analyses recent Twitter feeds mentioning each London Underground line, and than uses HP IDOL OnDemand Sentiment Analysis to determine whether overall each line is receiving positive or negative tweets.

Lissy93/london-underground-live-sentiment-analysis

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TFL Twitter Sentiment Analysis

A node modules that analyses recent Twitter feeds mentioning each London Underground line, and than uses HP IDOL OnDemand Sentiment Analysis to determine wheather overall each line is receiving positive or negetive tweets.

##Usage ###Inatall

npm install git://github.com/Lissy93/london-underground-live-sentiment-analysis.git

Include

var tflSentimentAnalysis = require('tfl-sentiment-analysis');

Authenticating

You will need to sign up for an API key at https://api-portal.tfl.gov.uk/signup, and also the HP OnDemand key at http://www.idolondemand.com/signup.html , both of which are free. Create a JSON similar to this:

exports.HP_API_KEY = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx';

exports.TWITTER_API = {
    CONSUMER_KEY        : "xxxxxxxxxxxxxxxxxxxxxxxxx",
    CONSUMER_SECRET     : "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
    ACCESS_TOKEN_KEY    : "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
    ACCESS_TOKEN_SECRET : "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
};

You should put it in a seperate file along with your other API keys and add file to your .gitignore

Make simple request

tflSentimentAnalysis.fetchTflSentiments(keys, function(results){
    console.log(results); // Do whatever with the results
});

Example Output

[ { line: 'DLR', sentiments: 'neutral', score: 0 },
  { line: 'WaterlooCity', sentiments: 'neutral', score: 0 },
  { line: 'Victoria',
    sentiments: 'positive',
    score: 0.5685799620527161 },
  { line: 'Picadilly', sentiments: 'neutral', score: 0 },
  { line: 'Bakerloo', sentiments: 'neutral', score: 0 },
  { line: 'Central', sentiments: 'neutral', score: 0 },
  { line: 'Overground', sentiments: 'neutral', score: 0 },
  { line: 'Jubile', sentiments: 'neutral', score: 0 },
  { line: 'District',
    sentiments: 'negative',
    score: -0.8177321332492695 },
  { line: 'Metropolitan', sentiments: 'neutral', score: 0 },
  { line: 'Northen', sentiments: 'positive', score: 0.48272937292926293 },
  { line: 'Hammersmith', sentiments: 'neutral', score: 0 },
  { line: 'Circle',
    sentiments: 'negative',
    score: -0.44023113875144726 } ]

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A node modules that analyses recent Twitter feeds mentioning each London Underground line, and than uses HP IDOL OnDemand Sentiment Analysis to determine whether overall each line is receiving positive or negative tweets.

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