r - 根据 r 中另一个数据框中的列填充数据框中的列

Question

我有一个评论数据框，看起来像这样(df1)

Comments
Apple laptops are really good for work,we should buy them
Apple Iphones are too costly,we can resort to some other brands
Google search is the best search engine 
Android phones are great these days
I lost my visa card today

我有另一个商家名称数据框，看起来像这样(df2):

Merchant_Name
Google
Android
Geoni
Visa
Apple
MC
WallMart

如果 df2 中的 merchant_name 出现在 df 1 的 Comment 中，将该商家名称附加到 R 中 df1 的第二列。匹配不需要完全匹配。需要的是近似值。此外，df1 包含大约 500K 行!我的最终 ooutput df 可能看起来像这样

Comments                                                        Merchant
Apple laptops are really good for work,we should buy them       Apple
Apple Iphones are too costly,we can resort to some other brands Apple
Google search is the best search engine                         Google
Android phones are great these days                             Android
I lost my visa card today                                       Visa

我怎样才能在 R 中高效地做到这一点？？谢谢

Answer 1

这是regex 的工作。查看 lapply 中的 grepl 命令。

comments = c(
   'Apple laptops are really good for work,we should buy them',
   'Apple Iphones are too costly,we can resort to some other brands',
   'Google search is the best search engine ',
   'Android phones are great these days',
   'I lost my visa card today'
)

brands = c(
   'Google',
   'Android',
   'Geoni',
   'Visa',
   'Apple',
   'MC',
   'WallMart'
)

brandinpattern = lapply(
   brands,
   function(brand) {
      commentswithbrand = grepl(x = tolower(comments), pattern = tolower(brand))
      if ( sum(commentswithbrand) > 0) {
         data.frame(
            comment = comments[commentswithbrand],
            brand = brand
         )
      } else {
         data.frame()
      }
   }
)

brandinpattern = do.call(rbind, brandinpattern)


> do.call(rbind, brandinpattern)
                                                          comment   brand
1                        Google search is the best search engine   Google
2                             Android phones are great these days Android
3                                       I lost my visa card today    Visa
4       Apple laptops are really good for work,we should buy them   Apple
5 Apple Iphones are too costly,we can resort to some other brands   Apple