Examples of org.galagosearch.core.parse.TagTokenizer

org.galagosearch.core.parse.TagTokenizer

This class processes document text into tokens that can be indexed.

The text is assumed to contain some HTML/XML tags. The tokenizer tries to extract as much data as possible from each document, even if it is not well formed (e.g. there are start tags with no ending tags). The resulting document object contains an array of terms and an array of tags.
@author trevor

  public boolean isStopWord(String word) {
    return stopwords.contains(word);
  }


  public String[] processContent(String text) {
    TagTokenizer tokenizer = new TagTokenizer();
    Document doc = null;


    try {
      doc = tokenizer.tokenize(text);
    } catch (IOException e) {
      e.printStackTrace();
    }


    List<String> toks = doc.terms;

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  public boolean isStopWord(String word) {
    return stopwords.contains(word);
  }


  public String[] processContent(String text) {
    TagTokenizer tokenizer = new TagTokenizer();
    Document doc = null;


    try {
      doc = tokenizer.tokenize(text);
    } catch (IOException e) {
      e.printStackTrace();
      return null;
    }

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  public boolean isStopwordRemoval() {
    return true;
  }
  
  public String[] processContent(String text) {
    TagTokenizer tokenizer = new TagTokenizer();
    Document doc = null;


    try {
      doc = tokenizer.tokenize(text);
    } catch (IOException e) {
      e.printStackTrace();
      return null;
    }

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  public boolean isStopWord(String word) {
    return stopwords.contains(word);
  }


  public String[] processContent(String text) {
    TagTokenizer tokenizer = new TagTokenizer();
    Document doc = null;


    try {
      doc = tokenizer.tokenize(text);
    } catch (IOException e) {
      e.printStackTrace();
      return null;
    }

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