Le jeudi 10 mai 2012 à 17:12 -0700, Triss.Ashton a écrit :
> Alekseiy, I tried your recommendation with several variations. It still does
> not run. I think the problem has to do with R2.15 and the refreshed TM
> package.
It works here with R 2.15.0 and tm 0.5-7.2 (development version), all
other relevant packages of the same version as you (but on Linux 64
bits). So it might not be the problem.
I'm using the docs example as a test:
data("crude")
crude[[1]]
stemDocument(crude[[1]])
> Everything runs under R2.10 with the following code:
>
> a <- Corpus(VectorSource(df$text)) # create corpus object
> a <- tm_map(a, removePunctuation)
> a <- tm_map(a, removeNumbers)
> a <- tm_map(a, removeWords, stopwords("english"))
> a <- tm_map(a, stripWhitespace)
> a <- tm_map(a, stemDocument, language = "english")
Let's focus on the example from the docs, since it's simple. Anyway, you
example is not reproducible since you do not provide the original data.
>
> This same code ran on R2.15 results in:
> 1. the removeWords working sometimes, and sometimes not.
> 2. and stemDocuments absolutely not working.
>
> Both error out. removeWords always stops reading in the stopword list on
> the same line number (I have added and subtracted words - no difference) -
> session info is below:
>
> > a <- tm_map(a, removeWords, stopwords("english"))
>
> Error in gsub(sprintf("\\b(%s)\\b", paste(words, collapse = "|")), "", :
> invalid regular expression
> '\b(a|about|above|across|after|again|against|all|almost|alone|along|already|also|although|always|am|among|an|and|another|any|anybody|anyone|anything|anywhere|are|area|areas|aren't|around|as|ask|asked|asking|asks|at|away|b|back|backed|backing|backs|be|became|because|become|becomes|been|before|began|behind|being|beings|below|best|better|between|big|both|but|by|c|came|can|cannot|can't|case|cases|certain|certainly|clear|clearly|come|could|couldn't|d|did|didn't|differ|different|differently|do|does|doesn't|doing|done|don't|down|downed|downing|downs|during|e|each|early|either|end|ended|ending|ends|enough|even|evenly|ever|every|everybody|everyone|everything|everywhere|f|face|faces|fact|facts|far|felt|few|find|finds|first|for|four|from|full|fully|further|furthered|furthering|furthers|g|gave|general|generally|get|gets|give|given|gives|go|going|good|goods|got|great|greater|greatest|group|grouped|grouping|groups|h|had|hadn't|has|hasn't|have|haven't|having|he|he
>
>
> > a <- tm_map(a, stemDocument, language = "english")
> Error in .jnew(name) : java.lang.ClassNotFoundException
This error suggests you should reconfigure Java. Have you tried
reinstalling rJava, Snowball, RWekajars and RWeka?
> SessionInfo:
>
> > sessionInfo()
> R version 2.15.0 (2012-03-30)
> Platform: i386-pc-mingw32/i386 (32-bit)
>
> locale:
> [1] LC_COLLATE=English_United States.1252
> [2] LC_CTYPE=English_United States.1252
> [3] LC_MONETARY=English_United States.1252
> [4] LC_NUMERIC=C
> [5] LC_TIME=English_United States.1252
>
> attached base packages:
> [1] stats4 grid stats graphics grDevices utils datasets
> [8] methods base
>
> other attached packages:
> [1] topicmodels_0.1-5 slam_0.1-23 modeltools_0.2-19 lasso2_1.2-12
> [5] pvclust_1.2-2 stringr_0.6 plyr_1.7.1 Snowball_0.0-8
> [9] rJava_0.9-3 ggplot2_0.9.0 tm_0.5-7.1 twitteR_0.99.19
> [13] rjson_0.2.8 RCurl_1.91-1.1 bitops_1.0-4.1
>
> loaded via a namespace (and not attached):
> [1] colorspace_1.1-1 dichromat_1.2-4 digest_0.5.2 MASS_7.3-17
>
> [5] memoise_0.1 munsell_0.3 proto_0.3-9.2
> RColorBrewer_1.0-5
> [9] reshape2_1.2.1 RWeka_0.4-11 RWekajars_3.7.5-1 scales_0.2.0
>
> >
> Hi Triss,
>
> If you need to stem just one text in the Corupus use a[[n]]<-stemDocument
>
> Best,
> -Alex
> ________________________________________
> From: r-help-bounces@ [r-help-bounces@] on behalf of Triss.Ashton
> [triss.ashton@]
> Sent: 02 May 2012 21:09
> To: r-help@
> Subject: Re: [R] Help with stemDocument
>
> I am having a problem with stemDocuments also. I can make it work by moving
> the data into a Corpus by using:
>
> > a <- Corpus(VectorSource(df$text)) # create corpus object
> > a <- tm_map(a, stemDocument, language = "english")
>
> but it is horrably slow. I want to stem outside the Corpus object like:
>
> >df$text <- stemDocument(df$text, language = "english")
>
> but it returns the original text.
>
> In fact, using the example in the tm package documentation does not work
> either:
>
> > data("crude")
> > crude[[1]]
> Diamond Shamrock Corp said that
> effective today it had cut its contract prices for crude oil by
> 1.50 dlrs a barrel.
> The reduction brings its posted price for West Texas
> Intermediate to 16.00 dlrs a barrel, the copany said.
> "The price reduction today was made in the light of falling
> oil product prices and a weak crude oil market," a company
> spokeswoman said.
> Diamond is the latest in a line of U.S. oil companies that
> have cut its contract, or posted, prices over the last two days
> citing weak oil markets.
> Reuter
> > stemDocument(crude[[1]], language = "english") # specify language
> Diamond Shamrock Corp said that
> effective today it had cut its contract prices for crude oil by
> 1.50 dlrs a barrel.
> The reduction brings its posted price for West Texas
> Intermediate to 16.00 dlrs a barrel, the copany said.
> "The price reduction today was made in the light of falling
> oil product prices and a weak crude oil market," a company
> spokeswoman said.
> Diamond is the latest in a line of U.S. oil companies that
> have cut its contract, or posted, prices over the last two days
> citing weak oil markets.
> Reuter
> > stemDocument(crude[[1]]) # language not specified
> Diamond Shamrock Corp said that
> effective today it had cut its contract prices for crude oil by
> 1.50 dlrs a barrel.
> The reduction brings its posted price for West Texas
> Intermediate to 16.00 dlrs a barrel, the copany said.
> "The price reduction today was made in the light of falling
> oil product prices and a weak crude oil market," a company
> spokeswoman said.
> Diamond is the latest in a line of U.S. oil companies that
> have cut its contract, or posted, prices over the last two days
> citing weak oil markets.
> Reuter
> >
>
>
> --
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>
>
>
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>
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