dc_equality: Extract Equality Discourse Connectors in Context

In trinker/discon: Discourse Connectors Analysis

Description

dc_equality - Extract equality discourse connectors in context.

dc_equality_sub - Extract equality discourse connectors in context typified as continuation or elaboration.

Usage

dc_equality(text.var, grouping.var, n.before = 1, tot = FALSE,
  n.after = n.before, ord.inds = TRUE, markup = c("<<", ">>"),
  name = "equality", ...)

dc_equality_sub(text.var, grouping.var, n.before = 1, tot = FALSE,
  n.after = n.before, ord.inds = TRUE, markup = c("<<", ">>"),
  name = "equality_sub", ...)

Arguments

text.var	The text variable.
grouping.var	The grouping variables. Also takes a single grouping variable or a list of 1 or more grouping variables.
n.before	The number of rows before the indexed occurrence.
tot	logical. If TRUE condenses sub-units (e.g., sentences) into turns of talk for that grouping.var.
n.after	The number of rows after the indexed occurrence.
ord.inds	logical. If TRUE inds is ordered least to greatest.
markup	A character vector of length two indicating the left (element 1) and right (element 2) boundary markers to use to highlight the equality discourse connectors. Use c("", "") to not mark the equality discourse markers.
name	A string indicating the name to search for within the internal data sets, typically the function's name. Generally, for internal use.
...	Other arguments passed to termco.

Value

dc_equality - Returns returns a list of 2:

counts	A termco object of equality discourse connector counts.
equality	A trans_context object of equality discourse connectors in context.

dc_equality_sub - Returns returns a list of 4:

counts	A termco object of equality discourse connector counts.
none	A trans_context object of equality discourse connectors in context that are not continuation or elaboration.
continuation	A trans_context object of continuation equality discourse connectors in context.
elaboration	A trans_context object of elaboration equality discourse connectors in context.

References

Alemany, L. A. (2005). Representing discourse for automatic text summarization via shallow NLP techniques (Unpublished doctoral dissertation). Universitat de Barcelona, Barcelona.

http://russell.famaf.unc.edu.ar/~laura/shallowdisc4summ/discmar

See Also

termco, trans_context

Examples

with(pres_debates2012[1:200, ], dc_equality(dialogue, person))

out <- with(pres_debates2012[1:200, ], dc_equality_sub(dialogue, person))
out[1]
out[2]
out[3]
out[4]
plot(out)

## Save externally use .doc or .txt
## print(out[[3]], file="elaboration_equality.doc")

trinker/discon documentation built on May 31, 2019, 8:42 p.m.