Combining .txt files with character data into a data frame for tidytext analysis

I have bunch of .txt files of Job Descriptions and I want to import them to do text mining analyses.

Please find attached some sample text files: Please use the 10kb and 20kb versions because the job descriptions are different lengths.

After combining them, I would like to do tidy text analyses and create document term matrices.

What I have done thus far:

file_list <- list.files(pattern="*.txt")
list_of_files <- lapply(file_list, read.delim)
mm<- merge_all(list_of_files) # this line doesn't work because the column headers of the lists are different
## Error in, x) : 'by' must specify a uniquely valid column

I would appreciate an answer that either helps me merge these lists into a data frame OR tells me a better way to import these text files OR sheds light on how to do tidy text analysis on lists rather than data frames.


This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.