speech_build: Transform speeches in pdf to data.frame

In speech: Legislative Speeches

Transform speeches in pdf to data.frame

Description

It allows to extract the individual speeches of each legislator in a document and obtain a data.frame.

Usage

speech_build(
  file,
  add.error.sir = NULL,
  rm.error.leg = NULL,
  compiler = FALSE,
  quality = FALSE,
  param = list(char = 6500, drop.page = 2)
)

Arguments

file	list or character vector specifying the path or URL to a PDF file. It can be one or more files.
add.error.sir	character vector. It allows to specify different ways in which the term that orders the speeches could be miswritten: sir. By default it is NULL.
rm.error.leg	character vector. It allows to add legislator's names to be eliminated. By default it is NULL. By default, "PRESIDENTE", "SECRETARIO", "SUBSECRETARIO", and "MINISTRO" are eliminated.
compiler	logical. When the checking of the process of conversion from pdf to data frame is completed, it is necessary to compile the data frame. To compile implies to unite all the speeches of each of the legislators for each document. As it is an operation that must be carried out after making corrections, it is necessary to opt for it. By default it is FALSE.
quality	logical. If TRUE, two quality indicators are added about the process, according to the quality of the document. index_1: Proportion of the text recovered according to the original document (param = list(char = 6500, drop.page = 2)) that must have the document. index_2: Proportion of the final text as a function of the recovered text. It is the proportion of the document in which there are only interventions by legislators.
param	list of length 2 with magnitudes for arguments "character for page" and "drop page non evaluate" respectively. The default values are the median characters of 8500 documents that make up the speech datasets.

Details

This function converts PDF documents to data.frame. The conversion is made by seeking interventions of legislators from the word "SENOR". As the quality of PDF files is not always the best it is recommended to verify that no legislator is omitted in the data.frame construction process. To make corrections of the word "SENOR" is that the argument add.error.sir should be used. The function has a long list of different ways in which the word "SENOR" may be written in a document, but not all possible future problems are covered. When the PDF document is a scan that was treated with an OCR, it should be checked with greater caution to ensure that the operation was performed correctly.

Value

data.frame class puy with the following variables:

• legislator: name of the legislators

• speech: speeches by legislators

• date: session date

• id: name file

• legislature: legislature id (period of government)

• sex: sex

• chamber: chamber to which the document belongs. It can be: Chamber of Representatives, Senate, General Assembly or Permanent Commission.

If quality is TRUE, the following are added:

• index_1: index_1

• index_2: index_2

Examples

# url <- speech::speech_url(chamber = "C", from = "17-09-2019", to = "17-09-2019")
# out <- speech_build(file = url)

# out <- speech_build(file = url, compiler = FALSE,
#                     quality = TRUE,
#                     add.error.sir = c("SEf'IOR"),
#                     rm.error.leg = c("PRtSIDENTE", "SUB", "PRfSlENTE"),
#                     param = list(char = 6000, drop.page = 3))

# out <- list.files(pattern = "*.pdf") %>% speech_build()

# out <- list.files(pattern = "*.pdf") %>%
#     speech_build(., compiler = TRUE, param = list(char = 4500, drop.page = 3))

speech documentation built on Oct. 4, 2022, 1:07 a.m.