To write this to Excel is not super difficult because the data is already "square" in a uniform data frame. If you get lost, send a comment and I will do what I can to help you out!
From there is is simply about unlisting to move them into data frames. If you look at this PDF from CRAN on page two the section Details shows you how to access the content and metadata. Those NA values are there because not all of the sub-lists had values for all of the observations.īy using the all=TRUE on both merges, you preserve all of the fields, with and without data, which makes it easy to work with moving forward. Make a data frame from each of the three lists in your corpus: one Ģ coverage1 United States North Korea United Statesģ coverage2 North America United States North America PUB, AU) - all 18 metadata elements column-wise in a dataframe or write to excel for each document in corpus? How can I save each metadata (SE, HD, AU. Subject : c("Hurricanes/Typhoons", "Storms", "Political/General News", "Disasters/Accidents", "Natural Disasters/Catastrophes", "Risk News", "Weather")Ĭoverage : c("United States", "North America") See meta-data associated with first article meta(corpus]) Metadata: corpus specific: 0, document level (indexed): 0 Please direct download this file before using in R setwd("~/NLP") I have developed some code leveraging stackoverflow, but now I am failing to read the metadata from this htm file I am trying my hand with programming with R and found this platform a great source of help.
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