Displaying 10 results from an estimated 10 matches for "termvectors".
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termvector
2006 May 26
8
Comparing two documents in the index
I want to compare two documents in the index (i.e. retrieve the cosine
similarity/score between two documents term-vector''s). Is this possible
using the standard Ferret functionality?
Thanks in advance,
Jeroen Bulters
--
Posted via http://www.ruby-forum.com/.
2007 Mar 28
4
retrieving search result positions
Hi
I''m considering using Ferret in v2 of Weft QDA, a wxruby desktop
application for textual analysis in social science.
Ferret seems a very impressive package that meets and exceeds my
requirements, but I can''t find how to retrieve specific details about
the results.
I''d like to be able to run fairly simple queries. I then need to look at
each term match, and get
2006 Aug 01
5
Per field boost values - possible? working?
I''m making a simple business directory search and I want to boost the
relevance of the ''name'' field over the ''address'' field - both stored in
the same document in the same index.
Here is some console code to demonstrate what I am actually doing
>> include Ferret::Document
=> Object
>> doc = Document.new
=> Document {
}
>> doc
2005 Nov 26
3
Several questions about Ferret.
Hi.
First of all I would like to say "thank you" to David for its really
valuable work. Ferret is a great project and it have great future.
Well now is my questions as beginner in Ferret.
How to remove ALL documents from index. Remove files is not a solution. I am
interesting in something like
index.remove_index or something like this. What is a usual way of doing it??
What is the
2006 Jul 31
16
Sorting performance
I''m using acts_as_ferret to index one of my rails models. Right after I
start the app the first request that orders by some ferret field will
take very long. Subsequent ones seem to be fast. I guess some caching is
going on. Any tips on solving this?
Pedro.
2007 Dec 20
1
indexing tuples (example: "frog" => 123) as opposed to words
Hi,
I need to map words in a document back to there original word id''s in my
database. For example, if I had the sentence "I eat food" and I was
searching for "food" I would obviously get the document back as a
result. For my particular problem I need to not only get the document id
but also the id of the match.
Suppose my original sentence was actually
2007 Jun 04
5
Sorting and getting occurrences of search in hit
Is there any way you could get the number of occurrences of the search
in one hit?
In a result I get the ferret_rank and ferret_score but not how many hits
the search generated in the current record.
I would also like to be able to sort after this when I search.
/mattias
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Posted via http://www.ruby-forum.com/.
2007 Jun 12
5
index browser inconsistent with IndexReader
Hi,
We have an index of around 1M web pages as part of our web app. The
app uses ferret by way of RDig to perform searches. We have noticed
anecdotally that some searches don''t work the way we thought they
should, as if documents were missing from the index. Yesterday we
came upon a concrete instance of this.
Our documents have several fields, one of which is called :keywords
and
2006 Jun 04
20
Proposal of some radical changes to API
...term_vector
=> :with_positions_offsets)
And later add a field like this;
doc << Field.new(:field, "diff...", :index => :no, :term_vector => :no)
This field will be indexed and it''s term vectors will be stored
regardless. This is good because if you are using TermVectors in a
particular field then you probably expect them to be there for all
instances of that field. The problem is that earlier documents will
have been added without storing term vectors. Now I don''t know the
exact thinking behind these rules but it seems to me that it would be
better to jus...
2006 Aug 20
7
missing terms in index causing search errors
I am unable to find results for models when one or more of the terms are
not being indexed.
Lets suppose I index a User on the phrase "Ruby on Rails." If I then
search using User.find_by_contents("Ruby on Rails") I get no results,
since "or" is a common term and does not get indexed. Of course,
User.find_by_contents("Ruby Rails") works just fine.
I