t; >
> > I hope this is not a silly question, but I should ask.
> >
> > I developed a IR system for XML documents with Lucene and I was checking
> > the
> > explain() output for some queries, but I don't understand this part:
> >
> > 0.121383816 = f
ieldWeight(title:efecto in 1), product of:
> 1.0 = tf(termFreq(title:efecto)=1)
> 0.7768564 = idf(docFreq=4)
>
> It suppose tf refears to the term's frequency in the document, but I know
> there are more than one occurrences of this term in this document, so I
> noted that te
Hi list,
I hope this is not a silly question, but I should ask.
I developed a IR system for XML documents with Lucene and I was checking the
explain() output for some queries, but I don't understand this part:
0.121383816 = fieldWeight(title:efecto in 1), product of:
1.0 = tf(ter
Not really sure what to tell you other than you need to dig in and
look at how the other Query classes are implemented. I would start
with TermQuery/TermScorer.
One thing I did to get to know the scoring was to go through and
document it the best I could (given the time I had) as pseudocod
Very interesting the link you suggest me Mr Grant Ingersoll.
Let see if I understand how the ranking issue in lucene could be implemented:
1. First I must create my own query class extending the abstract Query
class. The only method I must implement from this class is toString.
Is right this ?
Term Vectors (specifically TermFreqVector) in Lucene are a storage
mechanism for convenience and applications to use. They are not an
integral part of the scoring in the way you may be thinking of them in
terms of the traditional Vector Space Model, thus there may be some
confusion from th
Then if I want to use another scoring formula I must to implement my
own Query/Weigh/Scorer ? For example instead of cousine distance
leiderbage distance or .. another. I'm studying Query/Weigh/Scorer
classes to find out how to do that but there is not much documentation
about that.
I have seen I
what you are trying to do.
HTH,
Grant
On Nov 6, 2007, at 5:27 PM, Ariel wrote:
Hi:
I want to build a custom termfreq vector an add it to the field to
store it
to the index.
I want to use lucene for research, I'm thinking to make some
experimentation
so I need to store a term vector
write
your own Analyzer that breaks the stream however you want, and
use *that* analyzer at index and search time. Then looking at
termfreq will work as you expect.
PerFieldAnalyzerWrapper will allow you to treat different fields
differently, which may help if you want one sort of behavior for
one fi
Hi,
Thanks for your reply.
But how do I get termfreq of that term("emp-id")? Does Lucene have any
other way to handle this?
I appreciate any solution regarding this problem.
Regards
SenthilKumaran
On 6/20/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
You ar
Sent: Wednesday, June 20, 2007 5:24 PM
To: [email protected]
Subject: zero termfreq for some search strings with special characters
Hi,
I'm using standard tokenizer for both indexing and searching
process.Myindexed value is like "emp-id Aq234 kaith creating document
for s
Hi,
I'm using standard tokenizer for both indexing and searching
process.Myindexed value is like "emp-id Aq234 kaith creating document
for search".
I can get search results for the query CONTENT:"emp-id" by using hits =
indexSearcher.search(*query*).
But if I try to get termfrequency of t
Hi,
Anybody have idea about my previous post?
Regards
RSK
On 4/23/07, SK R <[EMAIL PROTECTED]> wrote:
Hi,
In my application, sometimes I need to find doc Id with term frequency
of my terms in my index of multi lines, tokenized & indexed with Standard
Analyzer. For this, now I'm using *
Hi,
In my application, sometimes I need to find doc Id with term frequency
of my terms in my index of multi lines, tokenized & indexed with Standard
Analyzer. For this, now I'm using *
TermDocs termDocs= reader.termDocs(new Term("FIELD","book1");
while(termDocs.next())
{
matches +=
Thank you, Grant, really help me :P
On 7/27/06, Grant Ingersoll <[EMAIL PROTECTED]> wrote:
You could store Term Vectors for your documents, and then look up the
individual document vectors based on the query results. If you need
help w/ Term Vectors, check out Lucene in Action, search this li
You could store Term Vectors for your documents, and then look up the
individual document vectors based on the query results. If you need
help w/ Term Vectors, check out Lucene in Action, search this list,
or http://www.cnlp.org/apachecon2005
-Grant
On Jul 27, 2006, at 4:52 AM, Jia Mi wr
Hi everyone,
I am just developing an application using Lucene, and I know how to get the
Term Freq via the IndexReader for the whole corpus. But I wonder if I can
get the term freq statistics just inside the query results, like I want the
hot words in just recent two weeks added into Lucene indic
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