我有两个以下的DTM:
dtm <- DocumentTermMatrix(t)
dtmImproved <- DocumentTermMatrix(t,
control=list(minWordLength = 4, minDocFreq=5))
当我实现这个时,我看到两个相同的DTM-s,如果我打开dtmImproved
,则有3个符号的单词。为什么minWordLength
参数不起作用?谢谢!
> dtm
A document-term matrix (591 documents, 10533 terms)
Non-/sparse entries: 43058/6181945
Sparsity : 99%
Maximal term length: 135
Weighting : term frequency (tf)
> dtmImproved
A document-term matrix (591 documents, 10533 terms)
Non-/sparse entries: 43058/6181945
Sparsity : 99%
Maximal term length: 135
Weighting : term frequency (tf)
答案 0 :(得分:25)
dtmImproved <- DocumentTermMatrix(t, control=list(wordLengths=c(4, 15),
bounds = list(global = c(5,Inf))))
这解决了这个问题!缺乏适当的文件确实让我失望(:
答案 1 :(得分:0)
如果可用的话,阅读源代码总是一个好主意。阅读wordcloud函数@ GitHub的源代码,这里是它的说法:
#作者:ianfellows
.....
if(min.freq&gt; max(freq))
min.freq&lt; - 0
所以你的DocumentTermMatrix返回了max(freq)&lt;你设置的min.freq绑定,即非超出你设置的min.freq界限的条款。
希望这有助于 MJJ