Text mining
Apply data mining function on vectorized text
TEXTMINING(corpus, miningmethod, vector = c("docs", "words"), ...)corpus |
The corpus. |
miningmethod |
The data mining method. |
vector |
Indicates the type of vectorization, documents (TF-IDF) or words (GloVe). |
... |
Parameters passed to the vectorisation and to the data mining method. |
The result of the data mining method.
## Not run:
require (text2vec)
data ("movie_review")
d = movie_review [, 2:3]
d [, 1] = factor (d [, 1])
d = splitdata (d, 1)
model = TEXTMINING (d$train.x, NB, labels = d$train.y, mincount = 50)
pred = predict (model, d$test.x)
evaluation (pred, d$test.y)
text = loadtext ("http://mattmahoney.net/dc/text8.zip")
clusters = TEXTMINING (text, HCA, vector = "words", k = 9, maxwords = 100)
plotclus (clusters$res, text, type = "tree", labels = TRUE)
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.