similar to: Stemming, stop words, acts_as_ferret

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 =

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, Two questions which I'm unsure about: Stemming: I've turned on stemming, etc, but how can I confirm that it's being used in searches? What should I look/search for? Stopwords: I'm trying out xapian on a regional dataset (searching data from a *.co.us TLD, eg) . I've noticed that searching for [bob co.us] results in *very* slow search times (tens of seconds), since it

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, Just downloaded the new ferret 0.11. I''m on OSX btw. I get this error everytime I run my unit tests: Loaded suite ferret_updater_unit_test Started E/usr/local/lib/ruby/1.8/erb.rb:504: [BUG] Segmentation fault ruby 1.8.4 (2005-12-24) [i686-darwin8.7.1] Abort trap When I revert back to 10.14 I dont get this error. When I comment out the line: Ferret::Index::Index.new({:path =>

Dear all, I have some troubles using the stemming algorithm provided by the tm (text mining) + Snowball packages. Here is my config: MacOS 10.5 R 2.12.0 / R 2.13.1 / R 2.14.1 (I have tried several versions) I have installed all the needed packages (tm, rJava, rWeka, Snowball) + dependencies. I have desactivated AWT (like written in

I am running the following code on a MacBook Pro 17" Unibody early 2009 with 8GB RAM, OS X 10.5.8, R 2.10.0 Patch from Nov. 2, 2009, in 64-bit mode. freq.stopwords <- numeric(0) freq.nonstopwords <- numeric(0) token.tables <- list(0) i.ss <- c(0) cat("Beginning at ", date(), ".\n") for (i.d in 1:length(tokens)) { tt <- list(0) for (i.s in

Hi, I am just wondering if there''s a way to get all the words from an index. Basically, all the words that have been indexed (excluding the stopwords if I''m using the stopwords analyzer, etc.) The fields I''m putting in are not :stored in the index. The idea is to implement a "did you mean?" mecanism, which is based on the content of the index, not on a

I'm looking at adding some stopwords to my indexing procedure, and was wondering if anyone had any good rules of thumb on how to pick which words to blacklist. It all seems a little... well... vague. Although I guess it kind of depends on the sort of documents you're wanting to index. My current idea is to write a little script to output the terms with the highest frequency in my

Cordial Saludo Actualmente estoy realizando una función para gráficar una nube de palabras el código que tengo es el siguiente: library(twitteR)library(tm)library(wordcloud)library(RXKCD)library(RColorBrewer) tweets=searchTwitter(''@afflorezr'', n=1500) generateCorpus= function(tweets,my.stopwords=c(),min.freq){ #Install the textmining library require(tm) require(wordcloud)

I am using code that previously worked to remove stopwords using package "tm". Even manually adding "the" to the list does not work to remove "the". This package has undergone extensive redevelopment with changes to the function syntax, so perhaps I am just missing something. Please see my simple example, output, and sessionInfo() below. Thanks! Mark require(tm)

Hi, I do not understand the stopword function... I've set the termgenerator like this: $self->{'Stemmer'} = new Search::Xapian::Stem(german2); $self->{'Stopper'} = new Search::Xapian::SimpleStopper(); $self->{'TermGenerator'} = new Search::Xapian::TermGenerator; $self->{'TermGenerator'}->set_stemmer( $self->{'Stemmer'} );

Hello, I have finished moving the API to PIMPL classes and will fix issues within the current code over the next week, based on reviews from mentors. The next step going forward is to start with forming document vectors that are reduced and more useful. This majorly helps in saving run time (since time for distance calculation depends on number of terms). Getting the useful terms within a

Hi! I would like to use the lists of stopwords provided with Xapian. Are there some standard way to remove stopwords automatically, or should I implement it mysel in the indexer? Regards, Georges Dupret

I am using the tm package to do text miniing: I have a huge list of stopwords (2000+) that are in a csv file. I read it as follows: stopwordlist <- read.csv("stopwords to be Removed 10042011.csv") myStopwords <- as.character(stopwordlist$stopwords) When try removing the stopwords using tr1=tm_map(tr1,removeWords,myStopwords) I am getting the following error: Error in

Buenos días, Estoy realizando un análisis de topic models con el método LDA. En principio, he quitado del análisis las palabras "stopwords" universales. A la hora de ver los topics y sus palabras más frecuentes encuentro que son muy similares y hay palabras que aparecen en todos los topics. Los textos que estoy analizando son opiniones de consumidores sobre una categoría concreta de

Hi, I just noticed that by inspecting the matrix term that no all stopwords are removed, does someone know how to fix that? library(tm) data("crude") d<-tm_map(crude, removeWords, stopwords(language='english')) dt<-DocumentTermMatrix(d,control=list(minWordLength=3, minDocFreq=2)) inspect( dt) I am using R version 2.10, tm package 0.5-3 cheers Welma [[alternative HTML

Dear R team, The following piece of code (to use the lsa package) works fine on my mac os x, but when I run the same code on Windows XP, it doesn't work any more. ### code: library("lsa") matrix1 = textmatrix("C:\\Documents and Settings\\tine stalmans.TINE. 000\\LSA\\cuentos\\", stemming=TRUE, language="spanish", minWordLength=2, minDocFreq=1,

Hello, I have a corpus that I have indexed with xapian/xappy and I would now like to generate a corpus-specific list of stopwords. (This is a technical corpus, so a typical stopword list wouldn't be helpful.) My first thought was to ask the xapian database for a list of terms followed by their frequency. My intuition is that I could probably bring together a list of stopwords by examining

Hola, Acabo de calcular tf-idf y me surge una duda. ¿Habría un valor de idf o tf-idf que se considerara como umbral para establecer que una palabra es muy común o no? Los valores de idf en mis datos van entre 0 y 3.78 y los de tf-idf ente 0 y 0.07. Un saludo El Mar, 28 de Abril de 2020, 12:53, Carlos Ortega escribió: > Hola, > Yo de primeras los quitaría para qué otros topics aparecen.