Class SentimentAnalyzer

java.lang.Object

org.episteme.social.linguistics.SentimentAnalyzer

public final class SentimentAnalyzer
extends Object

Analytical tool for sentiment analysis and emotional polarity detection in text. It identifies positive, negative, and neutral tones using a lexicon-based approach with support for negations and intensifiers.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	SentimentAnalyzer.Sentiment	Qualitative classification of text sentiment.
static final record	SentimentAnalyzer.SentimentResult	Result of a sentiment analysis operation.

Method Summary

Modifier and Type	Method	Description
static SentimentAnalyzer.SentimentResult	analyze(String text)	Performs sentiment analysis on a raw text string.
static Map<String, SentimentAnalyzer.SentimentResult>	analyzeWithAspects(String text, List<String> aspects)	Performs aspect-based sentiment analysis by targeting specific keywords.
static Real	sentimentDifference(String text1, String text2)	Calculates the numerical sentiment difference between two texts.

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

analyze

public static SentimentAnalyzer.SentimentResult analyze(String text)

Performs sentiment analysis on a raw text string.

Parameters:

text - the input text to analyze

Returns:

a SentimentResult containing the polarity score and classification

analyzeWithAspects

public static Map<String, SentimentAnalyzer.SentimentResult> analyzeWithAspects(String text,
 List<String> aspects)

Performs aspect-based sentiment analysis by targeting specific keywords.

Parameters:

text - full text input

aspects - list of keywords (aspects) to analyze separately

Returns:

map of aspects to their corresponding SentimentResult

sentimentDifference

public static Real sentimentDifference(String text1,
 String text2)

Calculates the numerical sentiment difference between two texts.

Parameters:

text1 - first text

text2 - second text

Returns:

the difference in sentiment score (text1 - text2)