Sentiment Analyzer
Analyze sentiment (Negative and Positive) of an input sentence.
Quick Start
// create a Sentiment Analysis model
SentimentAnalyzer analyzer = new SentimentAnalyzer(this);
// define input sentence
String input = "Machine Learning is fun.";
// run sentiment analysis
MLLabel[] output = analyzer.predict(input);Usage
Initialize
SentimentAnalyzer analyzer = new SentimentAnalyzer(this);Methods
.predict(String input)
Runs sentiment analysis on input String and returns an array of MLLabel with two sentiment labels (Negative and Positive) and confidence scores.
String input = "Machine Learning is fun.";
// analyze sentiment
MLLabel[] output = analyzer.predict(input);
// print Negative score (0 to 1)
println("Sentiment: " + output[0].getLabel() + ", Confidence: " + output[0].getConfidence());
// print Positive score (0 to 1)
println("Sentiment: " + output[1].getLabel() + ", Confidence: " + output[1].getConfidence());Parameters
- String input: (required) String to analyze the sentiment.
Returns
- MLLabel[]: An array of size 2 containing MLLabel. Each element in the array is Negative and Positive label with its confidence score (from 0 to 1). Confidence is higher if each sentiment is stronger.