Java SnowballStemmer.stem方法代码示例

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
@Test
public void englishSanityCheck() {

    SnowballStemmer snowballStemmer = new englishStemmer();
    snowballStemmer.setCurrent("Jumps");
    snowballStemmer.stem();
    String result = snowballStemmer.getCurrent();

    Assert.assertEquals("Jump", result);
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
@Override
public void annotate(Blackboard blackboard, DocumentComponent component) {
    initIndex(component.getLanguage());

    List<Sentence> sentences = DocumentUtils.getSentences(component);

    for (Sentence s : sentences) {
        for (Gram g : s.getGrams()) {
            if (!g.hasAnnotation(TFIDF)) {

                String stemmedSurface = g.getSurface();

                String[] tokenizedSurface
                        = OpenNlpBootstrapperAnnotator.
                        tokenizeText(stemmedSurface,
                                component.getLanguage().getLanguage());

                SnowballStemmer stemmer = SnowballStemmerSelector.
                        getStemmerForLanguage(component.getLanguage());

                for (int i = 0; i < tokenizedSurface.length; i++) {

                    stemmer.setCurrent(tokenizedSurface[i]);
                    if (stemmer.stem()) {
                        tokenizedSurface[i] = stemmer.getCurrent();
                    }
                }

                stemmedSurface = String.join(" ",
                        markTokens(tokenizedSurface)).trim();

                ((Keyphrase) g).putFeature(TFIDF,
                        tfIdf(
                                IOBlackboard.getCurrentDocument(),
                                stemmedSurface));
            }
        }
    }
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
/**
  * Method to perform stemming 
  * @param input the words we would like to stem in a list
  * @return the words stemmed
  */
 public List<String> stem(List<String> input) {
    List<String> output=new ArrayList<>();
    SnowballStemmer snowballStemmer = new englishStemmer();
    for(String word:input){
        snowballStemmer.setCurrent(word);
        snowballStemmer.stem();
        output.add(snowballStemmer.getCurrent());
    }
    return output;
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
public ArrayList<String> stemInput(String s) {
	SnowballStemmer stemmer = (SnowballStemmer) new englishStemmer();
	s = s.replaceAll("[\\.\\,\\:\\?]", replacePunc);
	s = s.replaceAll("[^a-zA-Z0-9'\\s]", "").replaceAll("\\s+", " ");
	String[] tmp = s.split(" ");
	ArrayList<String> res = new ArrayList<String>();
	
	Boolean negate = false;
	
	for (String word: tmp) {
		if (IsStopWord(word)) {
			continue;
		}
		if (replacePunc.contains(word)) {
			negate = false;
			continue;
		}
		if (IsNegation(word)) {
			negate = !negate;
			continue;
		}
		stemmer.setCurrent(word);
		stemmer.stem();
		if (negate) {
			res.add("not-" + stemmer.getCurrent());
		} else {
			res.add(stemmer.getCurrent());
		}
	}
	return res;
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
/**
 *
 * @param text
 * @return
 * @throws IOException
 */
public Map<String, Float> buildBag(String text) throws IOException {
    Map<String, Float> bag = new HashMap<>();
    Analyzer analyzer = new StandardAnalyzer(Version.LUCENE_CURRENT);
    SnowballStemmer stemmer = null;
    if (stemming) {
        stemmer = getStemmer(language);
        if (stemmer == null) {
            Logger.getLogger(RevisedLesk.class.getName()).log(Level.WARNING, "No stemmer for language {0}", language);
        }
    }
    TokenStream tokenStream = analyzer.tokenStream("gloss", new StringReader(text));
    while (tokenStream.incrementToken()) {
        TermAttribute token = (TermAttribute) tokenStream.getAttribute(TermAttribute.class);
        String term = token.term();
        if (stemmer != null) {
            stemmer.setCurrent(term);
            if (stemmer.stem()) {
                term = stemmer.getCurrent();
            }
        }
        Float c = bag.get(term);
        if (c == null) {
            bag.put(term, 1f);
        } else {
            bag.put(term, c + 1f);
        }
    }
    return bag;
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
/**
 * The function is responsible for the stemming of each entity in the dictionary based on the stemming language
 * defined in the constructor.
 */
private void stemTerms() {
    try {
        int offset, overallOffset = 0;
        String word, name, uri;
        Concept concept;
        StringBuilder sb;

        Class stemClass = Class.forName("org.tartarus.snowball.ext." + stemmingLanguage);
        SnowballStemmer stemmer = (SnowballStemmer) stemClass.newInstance();

        for (ProcessedText pt : processedTerms) {
            sb = new StringBuilder();
            sb.append(" ");
            for (Token token : pt.tokens) {
                stemmer.setCurrent(token.text);
                stemmer.stem();
                word = stemmer.getCurrent();

                offset = token.text.length() - word.length();

                token.begin -= overallOffset;
                overallOffset += offset;
                token.end -= overallOffset;

                sb.append(word);
                sb.append(" ");

                token.stem = word;
            }
            name = sb.toString();
            concept = originalDictionary.getConcept(pt.originalText);
            pt.setStemmedText(name);

            processedDictionary.addElement(name.substring(1, name.length() - 1), concept);
        }
    } catch (InstantiationException | IllegalAccessException | ClassNotFoundException e) {
        throw new RuntimeException(e);
    }
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
/**
 * The function is responsible for the stemming of the main text based on the stemming language defined in the
 * constructor.
 */
private void stemText(ProcessedText processedText) {
    try {
        int offset, overallOffset = 0;
        String word;
        StringBuilder sb;

        Class stemClass = Class.forName("org.tartarus.snowball.ext." + stemmingLanguage);
        SnowballStemmer stemmer = (SnowballStemmer) stemClass.newInstance();

        sb = new StringBuilder();
        sb.append(" ");
        for (Token token : processedText.tokens) {
            stemmer.setCurrent(token.text);
            stemmer.stem();
            word = stemmer.getCurrent();

            offset = token.text.length() - word.length();

            token.begin -= overallOffset;
            overallOffset += offset;
            token.end -= overallOffset;

            sb.append(word);

            sb.append(" ");

            token.stem = word;
        }
        processedText.setStemmedText(sb.toString());

    } catch (InstantiationException | IllegalAccessException | ClassNotFoundException e) {
        throw new RuntimeException(e);
    }
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
public static String stem(@Nullable final String lang, final String string) {
    final SnowballStemmer stemmer = getStemmer(lang);
    stemmer.setCurrent(string);
    stemmer.stem();
    return stemmer.getCurrent();
}
 

import org.tartarus.snowball.SnowballStemmer; //导入方法依赖的package包/类
public TextAnalyzer analyze() {
    // Stanford CoreNLP, avoid lemmatization as it's very slow to use Porter2 stemming
    // instead. (Porter -> Snowball (Porter2) -> Lancaster is order of stemming
    // aggressiveness.
    //
    // other ideas
    // - remove top 10k most common english words
    Properties props = new Properties();
    props.put("annotators", "tokenize, ssplit, stopword");
    props.setProperty("customAnnotatorClass.stopword", "com.asimihsan.handytrowel.nlp.StopwordAnnotator");
    List<String> stopWords = null;
    try {
        stopWords = WordReader.wordReaderWithResourcePath("/nlp/top1000words.txt").getWords();
    } catch (IOException e) {
        e.printStackTrace();
        return this;
    }
    String customStopWordList = Joiner.on(",").join(stopWords);
    props.setProperty(StopwordAnnotator.STOPWORDS_LIST, customStopWordList);
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
    Annotation document = new Annotation(body);
    pipeline.annotate(document);
    List<CoreLabel> inputTokens = document.get(CoreAnnotations.TokensAnnotation.class);
    SnowballStemmer stemmer = new englishStemmer();
    for (CoreLabel token : inputTokens) {
        Pair<Boolean, Boolean> stopword = token.get(StopwordAnnotator.class);
        if (stopword.first())
            continue;
        String word = token.word().toLowerCase();

        //!!AI TODO this sucks, should make another annotator and make it optional etc.
        //also we're matching full stops! so we lose sentence information.
        if (punctuation.matcher(word).matches())
            continue;

        //!AI TODO again this would be its own annotator and optional
        word = number.matcher(word).replaceAll("NUMBER");

        stemmer.setCurrent(word);
        stemmer.stem();
        word = stemmer.getCurrent();
        tokens.add(word);
    }
    return this;
}