运行 stm 的单协变量主题建模问题

Question

我正在尝试运行使用 stm 进行 LDA 主题建模分析，但我的元数据有问题，它似乎工作正常但我有一个协变量（年龄）未被读取，如图所示在这个例子中。

我有一些推文（excel 文件中的 docu 列）具有年龄协变量（年轻，年老）值..

这是我的数据 http://www.mediafire.com/file/5eb9qe6gbg22o9i/dada.xlsx/file

library(stm)
library(readxl)
library(quanteda)
library(stringr)
library(tm)


data <-  read_xlsx("C:/dada.xlsx") 

#Remove URL's 
data$docu <- str_replace_all(data$docu, "https://t.co/[a-z,A-Z,0-9]*","")


data$docu <- gsub("@\w+", " ", data$docu)  # Remove user names (all proper names if you're wise!)

data$docu <- iconv(data$docu, to = "ASCII", sub = " ")  # Convert to basic ASCII text to avoid silly characters
data$docu <- gsub("#\w+", " ", data$docu)

data$docu <- gsub("http.+ |http.+$", " ", data$docu)  # Remove links

data$docu <- gsub("[[:punct:]]", " ", data$docu)  # Remove punctuation)

data$docu<-  gsub("[\r\n]", "", data$docu)

data$docu <- tolower(data$docu)



#Remove Stopwords. "SMART" is in reference to english stopwords from the SMART information retrieval system and stopwords from other European Languages.
data$docu <- tm::removeWords(x = data$docu, c(stopwords(kind = "SMART")))

data$docu <- gsub(" +", " ", data$docu) # General spaces (should just do all whitespaces no?)

myCorpus <- corpus(data$docu)
docvars(myCorpus, "Age") <- as.factor(data$Age)


processed <- textProcessor(data$docu, metadata = data)

out <- prepDocuments(processed$documents, processed$vocab, processed$meta, lower.thresh = 2)

out$documents
out$meta
levels(out$meta)

First_STM <- stm(documents = out$documents, vocab = out$vocab,
                 K = 4, prevalence =~ Age ,
                 max.em.its = 25, data = out$meta,
                 init.type = "LDA", verbose = FALSE)

如代码所示，我尝试将 Age 定义为因素，我认为这不是必需的，因为运行ning textProcessor 可能就足够了..但是当我运行 levels(out$meta) 我得到 NULL 值，所以当我运行 stm 得到实际主题时，我得到内存分配错误..

Answer 1

您将 Age 的元变量设置为该行中的因素

docvars(myCorpus, "Age") <- as.factor(data$Age)

但是您没有进一步使用 myCorpus。在接下来的步骤中，您将使用数据框 data 进行预处理。尝试在数据框中将 Age 定义为 factor:

data$Age <- factor(data$Age)

然后在这里之前使用它

processed <- textProcessor(data$docu, metadata = data)

out <- prepDocuments(processed$documents, processed$vocab, processed$meta, lower.thresh = 2)

然后您可以这样查看关卡：

levels(out$meta$Age)

虽然我无法重现您的内存分配错误。 stm 在我的机器上运行良好（Win 10 Pro，8GB Ram）。

运行 stm 的单协变量主题建模问题

Problems to run stm for topic modelling with one single covariate

r

topic-modeling