tm (version 0.7-2)

tm_term_score: Compute Score for Matching Terms

Description

Compute a score based on the number of matching terms.

Usage

# S3 method for DocumentTermMatrix
tm_term_score(x, terms, FUN = row_sums)
# S3 method for PlainTextDocument
tm_term_score(x, terms, FUN = function(x) sum(x, na.rm = TRUE))
# S3 method for term_frequency
tm_term_score(x, terms, FUN = function(x) sum(x, na.rm = TRUE))
# S3 method for TermDocumentMatrix
tm_term_score(x, terms, FUN = col_sums)

Arguments

x

Either a PlainTextDocument, a term frequency as returned by termFreq, or a TermDocumentMatrix.

terms

A character vector of terms to be matched.

FUN

A function computing a score from the number of terms matching in x.

Value

A score as computed by FUN from the number of matching terms in x.

Examples

# NOT RUN {
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"))
# }

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