对结构模型使用dfm

Question

从这个过程中得到一个dfm：

library(quanteda)
df <- data.frame(text = c("one text here", "one more here and there"))
toks_tweets <- tokens(df$text, remove_punct = TRUE)
dfmat_tweets <- dfm(toks_tweets,
    stem = FALSE,
    remove_punct = TRUE)

如何将其用于结构建模，如下所示：

library(stm)
fittedModel <- stm(documents = out$documents, vocab = out$vocab, K = 3, init.type = "Spectral")

Answer 1

您需要使用函数quanteda::convert。此函数可以将dfm转换为不同包的不同格式。有关所有选项，请参见?convert。

请参阅下面的示例以获取示例的解决方案。

library(quanteda)
df <- data.frame(text = c("one text here", "one more here and there"), stringsAsFactors = FALSE)
toks_tweets <- tokens(df$text, remove_punct = TRUE)
dfmat_tweets <- dfm(toks_tweets,
                    stem = FALSE,
                    remove_punct = TRUE)

out <- convert(dfmat_tweets, to = "stm")  # convert to stm format

library(stm)
fittedModel <- stm(documents = out$documents, vocab = out$vocab, K = 3, init.type = "Spectral")

fittedModel
# A topic model with 3 topics, 2 documents and a 6 word dictionary.