Nothing
library(SentimentAnalysis)
context("Prediction")
library(tm)
test_that("SentimentDictionaryWeighted is predicted correctly", {
documents <- c("This is a good thing!",
"This is a very good thing!",
"This is okay.",
"This is a bad thing.",
"This is a very bad thing.")
dictionary <- SentimentDictionaryWeighted(c("bad", "good"),
c(-2, 5),
c(1, 1),
1)
sentiment <- predict(dictionary, documents, weighting=function(x) tm::weightTf(x))
expect_is(sentiment, "data.frame")
expect_equal(colnames(sentiment), "Dictionary")
expect_equal(sentiment$Dictionary, c(6, 6, 1, -1, -1))
dictionary <- SentimentDictionaryWeighted(c("bad", "good"),
c(-2, 5),
c(0.5, 2),
1)
sentiment <- predict(dictionary, documents, weighting=function(x) tm::weightTf(x))
expect_is(sentiment, "data.frame")
expect_equal(colnames(sentiment), "Dictionary")
expect_equal(sentiment$Dictionary, c(11, 3.5, 1, -3, 0))
dictionary <- SentimentDictionaryWeighted(c("alpha", "beta"),
c(-2, 5),
c(1, 1),
1)
sentiment <- predict(dictionary, documents, weighting=function(x) tm::weightTf(x))
expect_is(sentiment, "data.frame")
expect_equal(colnames(sentiment), "Dictionary")
expect_equal(sentiment$Dictionary, c(1, 1, 1, 1, 1))
})
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