为 STM 的每个主题绘制超过 3 个单词?
Plot more than 3 words per topic for STM?
是否可以使用 STM 包为每个主题绘制 3 个以上的单词?
topic.count <- 10
model.stm <- stm(stm_1$documents, stm_1$vocab, K = topic.count, data = stm_1$meta,
init.type = "Spectral")
使用“plot, type = “summary”,我在情节中每个主题得到 3 个词
plot(model.stm, type = "summary", text.cex = 1)
使用“labelTopics”,我在“最高概率”下得到每个主题 7 个单词的列表
labelTopics(model.stm)
有没有办法绘制 4 或 5 个单词,而不是像下面的代码那样使用默认的 3 个单词?
plot(model.stm, type = "summary", text.cex = 1)
是 - 通过设置 n
。示例:
library("stm")
## stm v1.3.6 successfully loaded. See ?stm for help.
## Papers, resources, and other materials at structuraltopicmodel.com
plot(gadarianFit, type = "summary", text.cex = 0.9, n = 5)
是否可以使用 STM 包为每个主题绘制 3 个以上的单词?
topic.count <- 10
model.stm <- stm(stm_1$documents, stm_1$vocab, K = topic.count, data = stm_1$meta,
init.type = "Spectral")
使用“plot, type = “summary”,我在情节中每个主题得到 3 个词
plot(model.stm, type = "summary", text.cex = 1)
使用“labelTopics”,我在“最高概率”下得到每个主题 7 个单词的列表
labelTopics(model.stm)
有没有办法绘制 4 或 5 个单词,而不是像下面的代码那样使用默认的 3 个单词?
plot(model.stm, type = "summary", text.cex = 1)
是 - 通过设置 n
。示例:
library("stm")
## stm v1.3.6 successfully loaded. See ?stm for help.
## Papers, resources, and other materials at structuraltopicmodel.com
plot(gadarianFit, type = "summary", text.cex = 0.9, n = 5)