Computes keyword co-occurrence, thematic components, and reference co-citation for a corpus. Records iterate in file order.
Arguments
- corpus
A corpus object (named list), e.g. from
tf_read_corpus().- min_link
Minimum co-occurrence count for an edge to be kept (default
2).
Value
A named list with elements n_records, keywords,
keyword_cooccurrence, themes, and co_citation.
Examples
corpus <- list(
schema_version = "1.0", id = "demo-corpus",
records = list(
list(id = "w1", keywords = list("arousal", "threat")),
list(id = "w2", keywords = list("arousal", "threat"))
)
)
tf_litmap(corpus)
#> $n_records
#> [1] 2
#>
#> $keywords
#> $keywords[[1]]
#> [1] "arousal"
#>
#> $keywords[[2]]
#> [1] "threat"
#>
#>
#> $keyword_cooccurrence
#> $keyword_cooccurrence[[1]]
#> $keyword_cooccurrence[[1]]$a
#> [1] "arousal"
#>
#> $keyword_cooccurrence[[1]]$b
#> [1] "threat"
#>
#> $keyword_cooccurrence[[1]]$count
#> [1] 2
#>
#>
#>
#> $themes
#> $themes[[1]]
#> $themes[[1]]$id
#> [1] "theme_1"
#>
#> $themes[[1]]$keywords
#> $themes[[1]]$keywords[[1]]
#> [1] "arousal"
#>
#> $themes[[1]]$keywords[[2]]
#> [1] "threat"
#>
#>
#> $themes[[1]]$size
#> [1] 2
#>
#>
#>
#> $co_citation
#> list()
#>