Re-nest keywords — extract

Now that you have a final unnested version of the data, you need to create a nested version. In the process you are also ready to create new columns (india_rank, max_kword, and in_of_n_kword), which detail the relevance of India to an article.

extract_rank(df)

find_max_kword(df)

nyt_re_nest_keywords(full_unnested_df, max_allowable_india_rank = 30)

Arguments

df	keyword df belonging to one article
full_unnested_df	output of `nyt_join_coords_countries()`
max_allowable_india_rank	upper limit of india keyword rank of an article

Value

nyt_re_nest_keywords() returns a nested df

Details

extract_rank() and find_max_kword() are small helper functions used when iterating over each article.

Examples

if (FALSE) {
full_nested_df <- nyt_re_nest_keywords(full_unnested_df)
}