search for: stemfilters

Hi, I''m having difficulty getting the StemFilter and PhraseQuery to work properly together. When I use a StemFilter with a PhraseQuery, searches only work if the phrase consists of stems. For example, the search phrase "reduces health care" will not work but the phrase "reduce health care" will work even though the exact text "reduces health care" is

Hello all, I am new to the list, but I have been using ferret for a little bit already. I would first like to thank Dave for all his work on ferret. I had a few questions that I haven''t been able to figure out after messing around with ferret and going through the documentation. StemFilter ------ I am trying to improve the quality of my searches in context of the content of my

"nl" selects the dutch stemming algorithm, "no" selects the norwegian (as one would expect). there''s no inconsistency, which the documentation would suggest (using "dut" and "nld" for dutch stemming, "nl" or "no" for norwegian). this is on ferret 0.11.4 at least, i didn''t check earlier versions. phillip -- Posted

Hello all, Quick question (possibly!) - I''ve got a few records indexed and doing a search for ''test'' reports in no hits even though I know the word ''tests'' exists in the indexed field. Doing a search for ''tests'' produces a result. I would have thought that ''test'' would match ''tests'' but no such

Hi, I m trying to use a custom analyser to add my french stop words... i m reading the tutorial at : http://projects.jkraemer.net/acts_as_ferret/wiki/AdvancedUsage My problem is that i ve no idea where to put my custom Analyser class like : class GermanStemmingAnalyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = FULL_GERMAN_STOP_WORDS)

Is there anything about this analyzer that says "case-sensitive" to you? module Ferret::Analysis class StemmingAnalyzer def token_stream(field, text) StemFilter.new(StandardTokenizer.new(text)) end end end Just wondering how I can force my index to be case-insensitive. Thanks, -Adam -- Posted via http://www.ruby-forum.com/.

Hi - I''m currently investigating support for Ferret and content that spans multiple locales. I am particularly interested in using stemming and fuzzy searches (e.g. with slop factor) across multiple locales. So far I''ve followed the online docs for implementing a Stemming Analyzer, and it is working for English terms just fine. I''ve also written a method to import data

Hello all, Quick question, I''m using AAF and the following custom analyzer: class StemmedAnalyzer < Ferret::Analysis::Analyzer include Ferret::Analysis def initialize(stop_words = ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, str) StemFilter.new(StopFilter.new(LowerCaseFilter.new(StandardTokenizer.new(str)), @stop_words)) end However when

Hi all I''m using a_a_f in rails with a StemmingAnalyzer, in the index and in my search. I got the idea from this topic: http://www.ruby-forum.com/topic/80178 I''m having a problem with some search terms - i narrowed one of them down to the inclusion of the word ''fly''. Can anyone give me any clues at to what might be happening, or even how i can investigate?

I''m sure I''m missing something completely obvious here, so I hope someone can point me in the right direction! I''ve implemented a basic search with AAF, which works as expected; I''m running a ferret drb server, and using will_paginate to page results. The code in my search_controller.rb: search_text = params[:query] || " " @products =

I''m using the custom stem analyzer: require ''rubygems'' require ''ferret'' include Ferret module Ferret::Analysis class FerretAnalyzer def initialize(stop_words = FULL_ENGLISH_STOP_WORDS) @stop_words = stop_words end def token_stream(field, text) StemFilter.new(StopFilter.new(LowerCaseFilter.new(StandardTokenizer.new(text)),

Hi all, I am trying to implement a search that will use the Stem Analyzer. I added the Stem Anaylzer from the examples shown in another post http://ruby-forum.com/topic/80178#147014 module Ferret::Analysis class StemmingAnalyzer def token_stream(field, text) StemFilter.new(StandardTokenizer.new(text)) end end end The problem with the Stem analyzer is that when I search for a

Not sure how much this will interest people but I don''t have a blog so I''m posting something I threw together today cause I think it might be useful. In what little free time I have I''ve been wanting to put together a Rails/Ferret based restful dictionary. So I finally got a chance to get started today so the first thing I wanted to do was implement a metaphone

My customers seem to expect that the world of search is dictated by Google. As such they expect all queries except phrase queries to include partial term hits. In other words, searching on "test" also returns "testing". Is there a quick option to enable this or anyway more elegant than gsub''ing the query to add asterisks around each term (except those in phrases of

Hi everyone. First a quick word - I am relatively new to Ruby and Ruby on Rails, but I love learning about it and using it. Currently I am working on extending Boxroom (file repository RoR app) for the CARE Indonsia intranet, where I work as an intern. I am using ferret, and it''s working great. I noticed that if a file contains something like this "applications/entries", this

I''m not on AAF. Can someone else help Raymond with an example? On 12/6/06, Raymond O''connor <nappin713 at yahoo.com> wrote: > > Matt Schnitz wrote: > > You also need to stem-analyze the incoming query. > > > > I had this same problem. :^> > > > > > > Schnitz > > Do you have an example of how to do this? I''m using

I''d like to make my own analyzer for stemming, but where do I put it or how do I reference it? -- Posted via http://www.ruby-forum.com/.

Today while compiling ferret I noticed there was a Portuguese stemmer being compiled. How do I enable it''s use for my index? Pedro.

Hi all, I cannot make aaf (rev. 220) use my custom analyzer, despite following the indications @ http://projects.jkraemer.net/acts_as_ferret/wiki/AdvancedUsage To pinpoint the problem, I created a model + a simple analyzer with 2 stop words : "fax" and "gsm". test 1 : model.rebuild_index + model.find_by_contents("fax") # fax is a stop word. => I get a

I would like to thank all the people who have contributed to this very fine project. Great work! I''ve encountered some strange results while examining the term frequency of one of my indexed documents. The indexed terms seem to vary for the very same document depending on the presence or absence of completely unrelated operations in the code, so the resulting term frequency changes, too.