viralheat v0.0.1

Support for the Viralheat API.

See viralheat-sentiment for a lighter-weight module that provides only sentiment analysis.

This module requires libxmljs, which can be a bit complicated to install.

Reuire the module:

var viralheat = require('viralheat-sentiment')('[API Key Here]');

Make a sentiment request:

viralheat.sentiment.get('[text you would like analyzed]', function(err, data, status) {
	if(err) {
		// Error
	} else {
		res.send(data);
	}
});

Data will look something like this:

{"prob":0.838018305485215,"mood":"positive","text":"[The text you had analyzed]"}

Train the sentiment analyzer:

viralheat.sentiment.train('[text you would like analyzed]', [sentiment value like 0.43565432], function(err, data, status) {
	if(err) {
		// Error
	} else {
		res.send(data);
	}
});

Standard response from a train request:

{"status":"ok"}

Also, check your quota:

viralheat.sentiment.quota(function(err, data, status) {
	if(err) {
		// Error
	} else {
		res.send(data.quota_remaining);
	}
});

Get the list of social trend searches available:

viralheat.social_trends.profiles(200, function(err, data, status) {
	if err
		res.send(err)
	else
		res.send(data)
});

Get the statistics for a particular search, in this case: Organic Recipes

viralheat.social_trends.stats(18882, function(err, data, status) {
	if err
		res.send(err)
	else
		res.send(data)
});