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Custom Analyzer in Lucene
Lucene/Solr Meetup
Ganesh.M
http://www.linkedin.com/in/gmurugappan
• Introduction to Analyzer
• Why we require Custom Analyzer
• Use case / Scenario
• Writing custom analyzer
• Know your analyzer
• Analyzer : Analyzes the given text and returns
tokens using Tokenizer and TokenFilter
• Tokenizer : Understands the language and breaks
the text in to tokens.
– WhitespaceTokenizer divides text at whitespace
– LetterTokenizer divides text at non-letter
– CJKTokenizer – Chinese, Japanese, Korean language
tokenizer
• TokenFiler: adds / stem / deletes token
– StopFilter – removes stop words
– PorterStemFilter – Transforms the token
• Lets have the text
“The quick brown fox jumps over lazy dog”
Using Standard Analyzer, it will generate
following tokens
Quick Brown
Fox Jumps
Over Lazy
dog
Know Your analyzer
• It is important to choose best analyzer for
your fields.
• If you choose it wrong then it may not give
expected search result.
• If you ever think you are not expecting the
correct result then check your Analyzer and
Query parser.
Lucene 3.x: Below code will print the tokens
generated from given analyzer
Analyzer analyzer = new SimpleAnalyzer();
TokenStream ts = analyzer.tokenStream(“Field", new
StringReader(“Hello world-2013 "));
ts.reset();
while (ts.incrementToken()) {
System.out.println("token: " +
ts.getAttribute(TermAttribute.class).term());
}
ts.close();
The purpose of Custom Analyzer
• Existing analyzers not always solves our
purpose, some times we need to analyze in a
different way
• Custom Analyzer could use existing inbuilt
filters.
• It could also be used for parsing queries
Use case
• Synonym Injection / Abbreviation Expansion
– Add synonyms at the time of indexing.
– In case of parsing resume, add related content for
a keyword. If you find text “lucene/solr” then you
could add information retrieval, search engine.
– If you are searching medical documents, chat
messages etc you need to expand the
abbreviation / codes at the time of indexing
• Stripping XML / HTML tags and index only the
content
<Address>
<Street>123, MG Road<Street>
<City>Bangalore<Bangalore>
<State>Karnataka<State>
</Address>
• Break Email ID / URL in to multiple tokens
– Sachin Tendulkar
<sachin.tendulkar123@gmail.com>
– Should be analyzed as
• sachin
• tendulkar
• sachin
• tendulkar123
• gmail
• com
HTMLAnalyzer in Lucene 4.5
public class HTMLAnalyzer extends Analyzer {
@Override
protected TokenStreamComponents createComponents(String
arg0, Reader reader) {
HTMLStripCharFilter htmlFilter = new HTMLStripCharFilter(reader);
WhitespaceTokenizer tokenizer = new
WhitespaceTokenizer(Version.LUCENE_45, htmlFilter);
TokenStream result = new LowerCaseFilter(Version.LUCENE_45,
tokenizer);
return new TokenStreamComponents (tokenizer, result);
}
}
HTMLAnalyzer in Solr
<fieldType name="text_html" class="solr.TextField"
positionIncrementGap="100">
<analyzer>
<charFilter class="solr.HTMLStripCharFilterFactory"
escapedTags="a, title" /> <tokenizer
class="solr.WhitespaceTokenizerFactory"/>
</analyzer>
</fieldType>
SynonymAnalyzer
• SynonymAnalyzer will inject the synonym as
part of the indexed content using Lucene 3.3
• Check out the code..
https://github.com/geekganesh/SynonymAnal
yzer
PerFieldAnalyzerWrapper
• IndexWriter / IndexWriterConfig will take only
one Analyzer and it will use that for all its
fields.
• We may have multiple fields and each field
should be indexed using specific analyzer then
we need to use PerFieldAnalyzerWrapper
• PerFieldAnalyzerWrapper is used to have
different analyzer per field. It will be passed to
IndexWriter

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Custom analyzer using lucene

  • 1. Custom Analyzer in Lucene Lucene/Solr Meetup Ganesh.M http://www.linkedin.com/in/gmurugappan
  • 2. • Introduction to Analyzer • Why we require Custom Analyzer • Use case / Scenario • Writing custom analyzer • Know your analyzer
  • 3. • Analyzer : Analyzes the given text and returns tokens using Tokenizer and TokenFilter • Tokenizer : Understands the language and breaks the text in to tokens. – WhitespaceTokenizer divides text at whitespace – LetterTokenizer divides text at non-letter – CJKTokenizer – Chinese, Japanese, Korean language tokenizer • TokenFiler: adds / stem / deletes token – StopFilter – removes stop words – PorterStemFilter – Transforms the token
  • 4. • Lets have the text “The quick brown fox jumps over lazy dog” Using Standard Analyzer, it will generate following tokens Quick Brown Fox Jumps Over Lazy dog
  • 5. Know Your analyzer • It is important to choose best analyzer for your fields. • If you choose it wrong then it may not give expected search result. • If you ever think you are not expecting the correct result then check your Analyzer and Query parser.
  • 6. Lucene 3.x: Below code will print the tokens generated from given analyzer Analyzer analyzer = new SimpleAnalyzer(); TokenStream ts = analyzer.tokenStream(“Field", new StringReader(“Hello world-2013 ")); ts.reset(); while (ts.incrementToken()) { System.out.println("token: " + ts.getAttribute(TermAttribute.class).term()); } ts.close();
  • 7. The purpose of Custom Analyzer • Existing analyzers not always solves our purpose, some times we need to analyze in a different way • Custom Analyzer could use existing inbuilt filters. • It could also be used for parsing queries
  • 8. Use case • Synonym Injection / Abbreviation Expansion – Add synonyms at the time of indexing. – In case of parsing resume, add related content for a keyword. If you find text “lucene/solr” then you could add information retrieval, search engine. – If you are searching medical documents, chat messages etc you need to expand the abbreviation / codes at the time of indexing
  • 9. • Stripping XML / HTML tags and index only the content <Address> <Street>123, MG Road<Street> <City>Bangalore<Bangalore> <State>Karnataka<State> </Address>
  • 10. • Break Email ID / URL in to multiple tokens – Sachin Tendulkar <sachin.tendulkar123@gmail.com> – Should be analyzed as • sachin • tendulkar • sachin • tendulkar123 • gmail • com
  • 11. HTMLAnalyzer in Lucene 4.5 public class HTMLAnalyzer extends Analyzer { @Override protected TokenStreamComponents createComponents(String arg0, Reader reader) { HTMLStripCharFilter htmlFilter = new HTMLStripCharFilter(reader); WhitespaceTokenizer tokenizer = new WhitespaceTokenizer(Version.LUCENE_45, htmlFilter); TokenStream result = new LowerCaseFilter(Version.LUCENE_45, tokenizer); return new TokenStreamComponents (tokenizer, result); } }
  • 12. HTMLAnalyzer in Solr <fieldType name="text_html" class="solr.TextField" positionIncrementGap="100"> <analyzer> <charFilter class="solr.HTMLStripCharFilterFactory" escapedTags="a, title" /> <tokenizer class="solr.WhitespaceTokenizerFactory"/> </analyzer> </fieldType>
  • 13. SynonymAnalyzer • SynonymAnalyzer will inject the synonym as part of the indexed content using Lucene 3.3 • Check out the code.. https://github.com/geekganesh/SynonymAnal yzer
  • 14. PerFieldAnalyzerWrapper • IndexWriter / IndexWriterConfig will take only one Analyzer and it will use that for all its fields. • We may have multiple fields and each field should be indexed using specific analyzer then we need to use PerFieldAnalyzerWrapper • PerFieldAnalyzerWrapper is used to have different analyzer per field. It will be passed to IndexWriter