NNS (version 0.5.6)

NNS.term.matrix: NNS Term Matrix

Description

Generates a term matrix for text classification use in NNS.reg.

Usage

NNS.term.matrix(x, oos = NULL, names = FALSE)

Arguments

x

Text A two column dataset should be used. Concatenate text from original sources to comply with format. Also note the possiblity of factors in "DV", so "as.numeric(as.character(...))" is used to avoid issues.

oos

Out-of-sample text dataset to be classified.

names

Column names for "IV" and "oos". Defaults to FALSE.

Value

Returns the text as independent variables "IV" and the classification as the dependent variable "DV". Out-of-sample independent variables are returned with "OOS".

References

Viole, F. and Nawrocki, D. (2013) "Nonlinear Nonparametric Statistics: Using Partial Moments" https://www.amazon.com/dp/1490523995/ref=cm_sw_su_dp

Examples

# NOT RUN {
x <- data.frame(cbind(c("sunny", "rainy"), c(1, -1)))
NNS.term.matrix(x)

### Concatenate Text with space seperator, cbind with "DV"
x <- data.frame(cbind(c("sunny", "rainy"), c("windy", "cloudy"), c(1, -1)))
x <- data.frame(cbind(paste(x[ , 1], x[ , 2], sep = " "), as.numeric(as.character(x[ , 3]))))
NNS.term.matrix(x)


### NYT Example
# }
# NOT RUN {
require(RTextTools)
data(NYTimes)

### Concatenate Columns 3 and 4 containing text, with column 5 as DV
NYT=data.frame(cbind(paste(NYTimes[ , 3], NYTimes[ , 4], sep = " "),
                     as.numeric(as.character(NYTimes[ , 5]))))
NNS.term.matrix(NYT)
# }