Paul Elschot wrote:
The goal(s) I am trying to accomplish is rather specific I think,
so I imagine the use of my hacking is rather limited (i.e. just to
me).
At the moment my code:
* parses the search text (i.e. user entered query)
Are you using QueryParser? If
Erik Hatcher wrote:
On 4 Nov 2005, at 18:32, Sean O'Connor wrote:
I'm posting this primarily hoping to give back a tiny bit to a very
helpful community. More likely however, someone else will open my
eyes to an easier approach than what I outline below...
I've come up w
ct hit found. This is really only useful for
"termA near 'some phrase'" at the moment, but might become more advanced
in the next 2-3 months.
Sean
Paul Elschot wrote:
On Thursday 20 October 2005 00:40, Sean O'Connor wrote:
Hello,
I have user entered search
Hello,
I have user entered search commands which I want to convert to
SpanQueries. I have seen in the book "Lucene in Action" that no parser
existed at time of publication, but there was someone working on a
SpanQuery parser. Can anyone point me to that code, or provide any
suggestions?
Hi,
I am trying to work through the Hit collection process for a
PhraseQuery (using an exact phrase). For an example search, say I'm
looking for:
"lucene action" (quotes indicating exact phrase)
in a one doc, one field index consisting of:
wow, lucene rocks, lucene action items are cool, v
Thanks for the input. I am looking at the suggested links now. If I make
any progress I will return to see if any of my work would be appropriate
to contribute back.
Sean
Paul Elschot wrote:
On Tuesday 06 September 2005 08:52, markharw00d wrote:
>>I believe I have heard that Span queries
I believe I have heard that Span queries provide some way to access
document offset information for their hits somehow. Does anyone know if
this is true, and if so, how I would go about it?
Alternatively (preferably actually) does the surround code from the SVN
development area have a way of r
help,
Sean
Paul Elschot wrote:
Sean,
On Sunday 04 September 2005 20:43, Sean O'Connor wrote:
Hello,
I am trying to do some complex queries such as:
[Field contents]
The movie Napoleon Dynamite is a movie about a kid named Napoleon who
has no Dynamite.
[Query]
"Napol* Dynam
ml file
that can be used directly for both building and testing just the surround
package, but it does require that
lucene/java/trunk/contrib/contrib-build.xml and some other files from
lucene/java/trunk/ are checked out, so you might as well just check out
the whole thing.
: Date: Sun, 04 Sep 20
Hello,
I am new to subversion, junit and the Lucene contrib repository. I
am looking over the 'surround' project at the moment. If there is anyone
out there with Eclipse experience who uses the contrib subversion (or
cvs) repository could you look over my approach listed below?
I am using
I believe the index just contains information about single terms. A
PhraseQuery then searches the index for the parts of the phrase and
returns the hit information.
So, as far as I understand, there is no way to get the frequency of
phrase directly from an index, but you could create a PhraseQ
Hello,
I am trying to do some complex queries such as:
[Field contents]
The movie Napoleon Dynamite is a movie about a kid named Napoleon who
has no Dynamite.
[Query]
"Napol* Dynamite" near "film|movie"
Is this possible with some version of a span query? Something like a
PhrasePrefixQ
Hello,
I am trying to work through term positions and how to get them from
a collection of hits. Does setting TermVector.WITH_POSITIONS_OFFSETS to
true save the start/end position of the term in the source text file? (I
_think_ it does).
If so, where would I start for trying to make th
to
educate myself would be welcome as well.
Cheers,
Sean
Erik Hatcher wrote:
On Jun 16, 2005, at 12:03 PM, Sean O'Connor wrote:
Yes, see the Javadoc for IndexReader.termPositions().
I'm probably missing the obvious here, but I assume this refers to
the analyzed ter
Hello,
I am trying to find the right approach for finding frequency (and,
slightly lower in priority, location) of search hits in a document. I
am working through the online documentation and the helpful "Lucene in
Action" book. There are several examples and explanations which seem
close, but
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