sentiment.scala

def sentimentCounter(list: List[String]): List[Int] = {
	list.foldLeft(List[Int](0, 0, 0))((acc, item) => {
		item match {
			case "Positive" => List(acc.head + 1, acc(1), acc(2))
			case "Very positive" => List(acc.head + 2, acc(1), acc(2))
			case "Negative" => List(acc.head, acc(1) + 1, acc(2))
			case _ => List(acc.head, acc(1), acc(2) + 1)
		}
	})
}

def analyzeWithCoreNLP(text: String): Double = {
	if (text.isEmpty) return 0.0

	val props = new Properties()
	props.setProperty("annotators","tokenize, ssplit, pos, lemma, parse, sentiment")
	val pipeline = new StanfordCoreNLP(props)

	val annotation = pipeline.process(text)
	val sentences = annotation.get(classOf[CoreAnnotations.SentencesAnnotation])

	val sentimentStringValuesBuf = scala.collection.mutable.ArrayBuffer.empty[String]
	sentences.forEach { sentence =>
		val sentiment = sentence.get(classOf[SentimentCoreAnnotations.SentimentClass])
		sentimentStringValuesBuf += sentiment
	}

	indexOfHighest(sentimentCounter(sentimentStringValuesBuf.toList)) match {
		case 0 => 1.0
		case 1 => -1.0
		case 2 => 0.0
	}
}