A simple way is to query using debugQuery=true and parse the output:
0.74248177 = queryWeight(rawText:python), product of:
2.581456 = idf(docFreq=16017)
0.28762132 = queryNorm
0.4191762 = (MATCH) fieldWeight(rawText:python in 950285), product of:
5.196152 = tf(termFreq(rawText:python)=27)
2.581456 = idf(docFreq=16017)
0.03125 = fieldNorm(field=rawText, doc=950285)
The =27 is the number of times 'python' appears in this document.
You could also write a custom component that included in this
information in the response.
-Mike
On 18-Aug-08, at 8:16 PM, Gene Campbell wrote:
Thank you for the response. Always nice to have something willing to
validate your thinking!
Of course, if anyone has any ideas on how to get the numbers of times
term is repeated in a document,
I'm all ears.
cheers
gene
On Tue, Aug 19, 2008 at 1:42 PM, Norberto Meijome
<[EMAIL PROTECTED]> wrote:
On Tue, 19 Aug 2008 10:18:12 +1200
"Gene Campbell" <[EMAIL PROTECTED]> wrote:
Is this interpreted as meaning, there are 10 documents that will
match
with 'car' in the title, and likewise 6 'boat' and 2 'bike'?
Correct.
If so, is there any way to get counts for the *number times* a value
is found in a document. I'm looking for a way to determine the
number
of times 'car' is repeated in the title, for example
Not sure - i would suggest that a field with a term repeated
several times would receive a higher score when searching for that
term, but not sure how you could get the information you
seek...maybe with the Luke handler ? ( but on a per-document
basis...slow... ? )
B
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