Database Reference
In-Depth Information
Figure 9.5
Distributions of ten topics over nine scientific documents from the
Cora dataset
The code that follows shows how to generate a graph similar to
Figure 9.5
using R
and add-on packages such as
lda
and
ggplot
.
require("ggplot2")
require("reshape2")
require("lda")
# load documents and vocabulary
data(cora.documents)
data(cora.vocab)
theme_set(theme_bw())
# Number of topic clusters to display
K <- 10
# Number of documents to display
N <- 9
result <- lda.collapsed.gibbs.sampler(cora.documents,
K, ## Num clusters
cora.vocab,
25, ## Num iterations
0.1,
0.1,
compute.log.likelihood=TRUE)
