rtext-mining
How to convert dataframe from list with different number of rows in R?
I'm reading text data from many pdf files. I have object that is a list
list description
As you can see, the elements differ in number of rows. I need to convert that into dataframe for text mining, but when I use function as.data.frame() it gives me an error:
as.data.frame(text_from_all_pdf)
Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 353, 457, 101, 517, 74, 102, 57, 5, 93
Solution
Try unlisting text_from_all_pdf and create a dataframe with one column.
data <- data.frame(text = unlist(text_from_all_pdf))
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