That's great, thanks dawid.
Just a question, how can I modify your code in order to use the carrot2-output-xsltrenderer to output the clustering results in a html page?
Can you provide an example?
Thanks
Dawid Weiss wrote:
Hi William,
Ok, here is some demo code I've put together that shows how you can achieve clustering of Lucene's results. I hope this will get you started on your projects. If you have questions, please don't hesitate to ask -- cross posts to carrot2-developers would be a good idea too.
The code (plus the binaries so that you don't have to check out all of Carrot2 ;) are at:
http://www.cs.put.poznan.pl/dweiss/tmp/carrot2-lucene.zip
Take a look at Demo.java -- it is the main link between Lucene and Carrot. Play with the parameters, I used 100 as the number of search results to be clustered. Adjust it to your needs.
int start = 0; int requiredHits = 100;
I hope the code will be self-explanatory.
Good luck, Dawid
From the readme file:
An example of using Carrot2 components to clustering search results from Lucene. ===========================================================
Prerequisities --------------
You must have an index created with Lucene and containing documents with the following fields: url, title, summary.
The Lucene demo works with exactly these fields -- I just indexed all of Lucene's source code and documentation using the following line:
mkdir index
java -Djava.ext.dirs=build org.apache.lucene.demo.IndexHTML -create -index index .
The index is now in 'index' folder.
Remember that the quality of snippets and titles heavily influences the
output of the clustering; in fact, the above example index of Lucene's API is
not too good because most queries will return nonsensical cluster labels
(see below).
Building Carrot2-Lucene demo ----------------------------
Basically you should have all of Carrot2 source code checked out and issue the building command:
ant -Dcopy.dependencies=true
All of the required libraries and Carrot2 components will end up in 'tmp/dist/deps-carrot2-lucene-example-jar' folder.
You can also spare yourself some time and download precompiled binaries I've put at:
http://www.cs.put.poznan.pl/dweiss/tmp/carrot2-lucene.zip
Now, once you have the compiled binaries, issue the following command (all on one line of course):
java -Djava.ext.dirs=tmp\dist;tmp\dist\deps-carrot2-lucene-example-jar \ com.dawidweiss.carrot.lucene.Demo index query
The first argument is the location of the Lucene's index created before. The second argument
is a query. In the output you should have clusters and max. three documents from every cluster:
Results for: query
Timings: index opened in: 0,181s, search: 0,13s, clustering: 0,721s
:> Search Lucene Rc1 Dev API
- F:/Repositories/cvs.apache.org/jakarta-lucene/build/docs/api/org/apache/lucene/search/class-use/Query.html
Uses of Class org.apache.lucene.search.Query (Lucene 1.5-rc1-dev API)
- F:/Repositories/cvs.apache.org/jakarta-lucene/build/docs/api/org/apache/lucene/search/package-summary.html
org.apache.lucene.search (Lucene 1.5-rc1-dev API)
- F:/Repositories/cvs.apache.org/jakarta-lucene/build/docs/api/org/apache/lucene/search/package-use.html
Uses of Package org.apache.lucene.search (Lucene 1.5-rc1-dev API) (and 19 more)
:> Jakarta Lucene
- F:/Repositories/cvs.apache.org/jakarta-lucene/src/java/overview.html
Jakarta Lucene API
- F:/Repositories/cvs.apache.org/jakarta-lucene/docs/whoweare.html
Jakarta Lucene - Who We Are - Jakarta Lucene
- F:/Repositories/cvs.apache.org/jakarta-lucene/docs/index.html
Jakarta Lucene - Overview - Jakarta Lucene
(and 12 more)
If you look at the source code of Demo.java, there are plenty of things
apt for customization -- number of results from each cluster, number of displayed
clusters (I would cut it to some reasonable number, say 10 or 15 -- the further a
cluster is from the "top", the less it is likely to be important). Also keep
in mind that some of Carrot2 components produce hierarchical clusters. This demonstration
works with "flat" version of Lingo algorithm, so you don't need to worry about it.
Hope this gets you started with using Carrot2 and Lucene. Please let me know about any successes or failures.
Dawid
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