从字符串向量到R中的模型矩阵_R_Model.matrix

从字符串向量到R中的模型矩阵

从字符串向量到R中的模型矩阵,r,model.matrix,R,Model.matrix,我有一个16163个字符串的向量，如下所示： sentencevector <- c('decided clean debt get finances together Thank consideration', 'I stable job I will never get laid I fixed', 'Using pay existing loans credit card debt All higher', 'Substantially lower giving peace mind

我有一个16163个字符串的向量，如下所示：

sentencevector <- c('decided clean debt get finances together Thank consideration',
'I stable job I will never get laid I fixed',
'Using pay existing loans credit card debt All higher',
'Substantially lower giving peace mind My job stable'...)

Data <- data.frame(
X = c('decided clean debt get finances together thank consideration'...),
decided = 1,
lean = 1,
dance = 0,
debt=1 ,...)

sentencevector使用DocumentTermMatrix或TermDocumentMatrix：
你必须假设每个句子都是一个文档。尝试将整个句子数据框发送到此函数。之后，您可以使用自己的过滤器提取正在搜索的数据。例如，类似于的内容，如果val>0，则1 else 0

这里有一个有点复杂的教程：
看看tm软件包。您希望创建一个术语文档矩阵
df <-setNames(data.frame(matrix(ncol = length(universe), nrow = length(sentencevector)), universe)