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https://issues.apache.org/jira/browse/LUCENE-2749?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13007837#comment-13007837
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Elmar Pitschke commented on LUCENE-2749:
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The first use case that comes into my mind is the filtering of possible names.
One of the request i always get is the automatic generation of tag-clouds with
a consideration in the search results. I think this would be one possibility to
get names without the need to maintain a word list.
Another thing of course would be to get some kind of semantic combination of
words. So you could get to more "natural" search experience. I think if a user
search for two words and these are quite near in a text it may be more useful
than a lot of occurances of the two words but with no combination.
Which use cases do you have in mind?
> Co-occurrence filter
> --------------------
>
> Key: LUCENE-2749
> URL: https://issues.apache.org/jira/browse/LUCENE-2749
> Project: Lucene - Java
> Issue Type: New Feature
> Components: Analysis
> Affects Versions: 3.1, 4.0
> Reporter: Steven Rowe
> Priority: Minor
> Fix For: 4.0
>
>
> The co-occurrence filter to be developed here will output sets of tokens that
> co-occur within a given window onto a token stream.
> These token sets can be ordered either lexically (to allow order-independent
> matching/counting) or positionally (e.g. sliding windows of positionally
> ordered co-occurring terms that include all terms in the window are called
> n-grams or shingles).
> The parameters to this filter will be:
> * window size: this can be a fixed sequence length, sentence/paragraph
> context (these will require sentence/paragraph segmentation, which is not in
> Lucene yet), or over the entire token stream (full field width)
> * minimum number of co-occurring terms: >= 2
> * maximum number of co-occurring terms: <= window size
> * token set ordering (lexical or positional)
> One use case for co-occurring token sets is as candidates for collocations.
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