| count_class {polmineR} | R Documentation |
Count class.
Description
S4 class to organize counts. The classes polmineR and
ngrams inherit from the class.
Usage
## S4 method for signature 'count'
summary(object)
## S4 method for signature 'count'
length(x)
## S4 method for signature 'count'
hist(x, ...)
Arguments
object |
A |
x |
A |
... |
Further parameters. |
Details
The summary-method in combination with a weighed
count-object can be used to perform a dictionary-based sentiment
analysis (see examples).
The length-method is synonymous with the size-method
and will return the size of the corpus or partition a count
has been derived from.
Slots
statObject of class
data.table.corpusObject of class
characterthe CWB corpus the partition is based on .encodingObject of class
character, the encoding of the corpus.nameObject of class
character, a name for the object.sizeObject of class
integer, the size of the partition or corpus the count is based upon.
Author(s)
Andreas Blaette
See Also
The count-class inherits from the textstat-class.
Examples
# sample for dictionary-based sentiment analysis
weights <- data.table::data.table(
word = c("gut", "super", "herrlich", "schlecht", "grob", "mies"),
weight = c(1,1,1,-1,-1,-1)
)
corp <- corpus("GERMAPARLMINI")
sc <- subset(corp, date == "2009-11-11")
cnt <- count(sc, p_attribute = "word")
cnt <- weigh(cnt, with = weights)
y <- summary(cnt)
# old, partition-based workflow
p <- partition("GERMAPARLMINI", date = "2009-11-11")
p <- enrich(p, p_attribute = "word")
weights <- data.table::data.table(
word = c("gut", "super", "herrlich", "schlecht", "grob", "mies"),
weight = c(1,1,1,-1,-1,-1)
)
p <- weigh(p, with = weights)
summary(p)