是否有用于在某个 'word distance' 中查找关键字的 R 函数？

Question

我需要的是在某个'word distance'中查找单词的功能。 'bag' 和 'tool' 这两个词在一个句子中很有趣 "He had a bag of tools in his car."

使用 Quanteda kwic 函数，我可以单独找到 'bag' 和 'tool'，但这常常给我带来过多的结果。我需要例如'bag' 和 'tools' 彼此相差五个字以内。

Answer 1

您可以使用fcm()函数来计算固定window内的共现次数，例如5个单词。这将创建一个 "feature co-occurrence matrix" 并且可以为任何大小的标记跨度或整个文档的上下文定义。

对于你的例子，或者至少是基于我对你问题的解释的例子，这看起来像：

library("quanteda")
## Package version: 1.4.3
## Parallel computing: 2 of 12 threads used.
## See https://quanteda.io for tutorials and examples.

txt <- c(
  d1 = "He had a bag of tools in his car",
  d2 = "bag other other other other tools other"
)
fcm(txt, context = "window", window = 5)
## Feature co-occurrence matrix of: 10 by 10 features.
## 10 x 10 sparse Matrix of class "fcm"
##         features
## features He had a bag of tools in his car other
##    He     0   1 1   1  1     1  0   0   0     0
##    had    0   0 1   1  1     1  1   0   0     0
##    a      0   0 0   1  1     1  1   1   0     0
##    bag    0   0 0   0  1     2  1   1   1     4
##    of     0   0 0   0  0     1  1   1   1     0
##    tools  0   0 0   0  0     0  1   1   1     5
##    in     0   0 0   0  0     0  0   1   1     0
##    his    0   0 0   0  0     0  0   0   1     0
##    car    0   0 0   0  0     0  0   0   0     0
##    other  0   0 0   0  0     0  0   0   0    10

这里，术语 bag 在第一个文档中 tool 的 5 个标记内出现一次。在第二个文档中，它们相隔超过5个令牌，因此不算在内。

是否有用于在某个 'word distance' 中查找关键字的 R 函数？

Is there an R function for finding keywords within a certain 'word distance'?

r

quanteda