tm_term_score | R Documentation |
Compute a score based on the number of matching terms.
## S3 method for class 'DocumentTermMatrix' tm_term_score(x, terms, FUN = row_sums) ## S3 method for class 'PlainTextDocument' tm_term_score(x, terms, FUN = function(x) sum(x, na.rm = TRUE)) ## S3 method for class 'term_frequency' tm_term_score(x, terms, FUN = function(x) sum(x, na.rm = TRUE)) ## S3 method for class 'TermDocumentMatrix' tm_term_score(x, terms, FUN = col_sums)
x |
Either a |
terms |
A character vector of terms to be matched. |
FUN |
A function computing a score from the number of terms
matching in |
A score as computed by FUN
from the number of matching
terms
in x
.
data("acq") tm_term_score(acq[[1]], c("company", "change")) ## Not run: ## Test for positive and negative sentiments ## install.packages("tm.lexicon.GeneralInquirer", repos="http://datacube.wu.ac.at", type="source") require("tm.lexicon.GeneralInquirer") sapply(acq[1:10], tm_term_score, terms_in_General_Inquirer_categories("Positiv")) sapply(acq[1:10], tm_term_score, terms_in_General_Inquirer_categories("Negativ")) tm_term_score(TermDocumentMatrix(acq[1:10], control = list(removePunctuation = TRUE)), terms_in_General_Inquirer_categories("Positiv")) ## End(Not run)
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