#VADER Sentiment Analysis

VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that iessed in social media.

##Example code

require_once "vadersentiment.php";

$textToTest = "VADER is smart, handsome, and funny.";

$sentimenter = new new SentimentIntensityAnalyzer();
$result = $sentimenter->getSentiment($textToTest);

print_r($result);

##Output of example code

['neg'=> 0.0, 'neu'=> 0.254, 'pos'=> 0.746, 'compound'=> 0.8316]

##Copyright and license

The original source code is copyright © 2013 C.J. Hutto

Where applicable, the ported source code is copyright © 2016 Andrew Busby. All rights reserved. The ported code is made available under the MIT license. A copy of the license can be found in the LICENSE.txt file.

##Acknowledgments

This is a php port of the vader sentiment analysis tool orginally written in python and found https://github.com/cjhutto/vaderSentiment

##This README file describes the dataset of the paper:

VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text (by C.J. Hutto and Eric Gilbert) Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.

##Citation Information

If you use either the dataset or any of the VADER sentiment analysis tools (VADER sentiment lexicon or Python code for rule-based sentiment analysis engine) in your research, please cite the above paper. For example:

Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.