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I would like to get some frequently occurring phrases with Lucene. I am getting some information from TXT files, and I am losing a lot of context for not having information for phrases e.g. "information retrieval" is indexed as two separate words.

What is the way to get the phrases like this? I can not find anything useful on internet, all the advices, links, hints especially examples are appreciated!

EDIT: I store my documents just by title and content:

 Document doc = new Document();
 doc.add(new Field("name", f.getName(), Field.Store.YES, Field.Index.NOT_ANALYZED));
 doc.add(new Field("text", fReader, Field.TermVector.WITH_POSITIONS_OFFSETS));

because for what I am doing the most important is the content of the file. Titles are too often not descriptive at all (e.g., I have many PDF academic papers whose titles are codes or numbers).

I desperately need to index top occurring phrases from text contents, just now I see how much this simple "bag of words" approach is not efficient.

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Julia, It seems what you are looking for is n-grams, specifically Bigrams (also called collocations).

Here's a chapter about finding collocations (PDF) from Manning and Schutze's Foundations of Statistical Natural Language Processing.

In order to do this with Lucene, I suggest using Solr with ShingleFilterFactory. Please see this discussion for details.


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