Displaying 6 results from an estimated 6 matches for "findfreqterms".
2011 Sep 12
1
findFreqTerms vs minDocFreq in Package 'tm'
I am using 'tm' package for text mining and facing an issue with finding the
frequently occuring terms. From the definition it appears that findFreqTerms
and minDocFreq are equivalent commands and both tries to identify the
documents with terms appearing more than a specified threshold. However, I
am getting drastically different results with both. I have given the results
from both the commands below:
findFreqTerms identifies 3140 words that appea...
2011 Nov 09
0
Min Frequency in findFreqTerms
I am using 'tm' package for text mining. I use the function findFreqTerms to
obtain the frequent words based on their frequency in the term document
matrix.
The following is the example given in the help page of this function:
library("tm")
data("crude")
tdm <- TermDocumentMatrix(crude)
findFreqTerms(tdm, 2, 3)
The first three columns of the doc...
2008 Oct 18
2
sorting matrix output alphabetically
...ould be generated. This would be quite long as the
matrix is 176 x 2796, so I was hoping I could save the output in a
csv file, which could be manipulated either in R or EXCEL.
Any advice as to how I could do this is appreciated,
Bob
rec.matrix <- TermDocMatrix(recdata)
recdata.matrix <- findFreqTerms(rec.matrix, 5, Inf)
# creates a matrix
new.matrix <- as(Data(rec.matrix), "matrix")
tot <- colSums(new.matrix)
sort(tot)
unavail unwilling wheels
1 1 1
evans...
2012 Feb 29
1
TM reader with text
Hello everybody,
I work, I try, with TM but I have a problem with some special words in
french. I think this is due to the manner to transform PDF to text, but I'm
not perfectly sure.
Let's see to the example :
findFreqTerms(tdm1,30)
[33] "<U+F0A3>" "<U+FB01>n" "<U+FB01>nancement"
"<U+FB01>nancier" "<U+FB01>nanci?re" "<U+FB01>nanci?res"
"<U+FB01>nanciers" "<U+FB0...
2012 Dec 13
2
Tamaño de la matriz de términos y memoria. Paquete TM
...anish")
# crea matriz de terminos
#a) términos como filas y documentos como columnas
dtm <- DocumentTermMatrix(corpus)
inspect(dtm[1000:1005,1000:1005])
# Términos con frecuencia mínima igual a 30:
findFreqTerms(dtm, lowfreq=30)
# remueve términos con baja frecuencia
inspect(removeSparseTerms(dtm, 0.4))
# nube de palabras
m <- as.matrix(dtm)
v <- sort(rowSums(m),decreasing=TRUE)
df <- data.frame(word = names(v),freq=v)
wordcloud(df$wo...
2014 Jul 29
2
wordcloud y tabla de palabras [Avanzando]
Buenas tardes grupo. Saludos cordiales Carlos J., muchas gracias por
tu orientación. Efectivamente, me había dado cuenta que la razón por
la que no se aplicaba colnames era porque no tenía columnas. La
cuestión es que no logro visualizar completamente/claramente en qué
parte del proceso de creación del corpus se puede hacer.
Sin embargo, siguiendo el ejemplo de