Thanks Ista. See codes below. I am not sure why the DTM is showing 0 term. I
have 4 documents in the corpus. And I was able to make transformations
to the documents inside the corpus.
> cname <- file.path("C:\\Users\\Desktop\\Text Mining\\Cases\\MyCorpus")
> dir(cname)
[1] "case1.txt" "case2.txt" "case3.txt" "case4.txt"
> library(tm)
> docs <- Corpus(DirSource(cname))
> install.packages("magrittr" ,dependencies=TRUE)
> viewDocs <- function(d, n) {d %>% extract2(n) %>% as.character() %>%
> writeLines()}
> viewDocs(docs, 1)
> toSpace <- content_transformer(function(x, pattern) gsub(pattern, " ", x))
> docs <- tm_map(docs, toSpace, "/|@|nn|")
> inspect(docs[1])
> docs <- tm_map(docs, removePunctuation)
> docs <- tm_map(docs, removeWords, stopwords("english"))
> inspect(docs[1])
> docs <- tm_map(docs, stripWhitespace)
> docs <- tm_map(docs, stemDocument)
> dtm <- DocumentTermMatrix(docs)
> dtm
<<DocumentTermMatrix (documents: 4, terms: 0)>>
Non-/sparse entries: 0/0
Sparsity : 100%
Maximal term length: 0
Weighting : term frequency (tf)
>
________________________________
From: Ista Zahn <istaz...@gmail.com>
Sent: Tuesday, December 6, 2016 9:09:37 AM
To: Patrick Casimir
Cc: r-help@r-project.org
Subject: Re: [R] Why is DocumentTermMatrix showing 0 term?
Hi Patrick,
How could anyone possibly answer this question with only the information you've
provided? It's like showing me an empty cup and asking why it's empty. Maybe
you didn't put anything in it. Maybe you did and then you dog drank it or your
cat knocked it over or your girlfriend drank it. How would I possibly know?
Bottom line, you need to show exactly what you did to produce that result,
preferably in the form of a few lines of code that we can run to reproduce your
problem.
Finally, you may find it helpful take some time to learn how to ask questions
the smart way. http://catb.org/~esr/faqs/smart-questions.html is a good place
to learn this important skill.
Best,
Ista
On Dec 6, 2016 7:58 AM, "Patrick Casimir"
<patrc...@nova.edu<mailto:patrc...@nova.edu>> wrote:
<<DocumentTermMatrix (documents: 4, terms: 0)>>
Non-/sparse entries: 0/0
Sparsity : 100%
Maximal term length: 0
Weighting : term frequency (tf)
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