create_data_to_visualization: Opis funkcji

In darsoo/KAROLA: Key-Abstract Record On-Line Analizator

Description

Opis funkcji

Usage

create_data_to_visualization(word, lemma_table, table_exist = F,
  output_file = "output_file", first_analyzed_date = "2000-01-01",
  last_analyzed_date = "2016-12-01", dictionary_exist = T, json,
  save_to_file = T)

Arguments

word	Character. Word which is analyzing.Its nesesary to add sufix after "_" with part of speech tag. List of all tag and their expands is available on site: http://www.ling.upenn.edu/courses/Fall_2003/ling001/penn_treebank_pos.html.
lemma_table	Character. Name of table which will be created or existing table from create_database
table_exist	Logical. If FALSE, function automatically create new table with name: lemma_table
output_file	Character. Name of output file.
first_analyzed_date	Date : YYYY-MM-DD. Month to start analysis
last_analyzed_date	Date : YYYY-MM-DD. Month to stop analysis
dictionary_exist	Logical. If you have a dictionary in file it should TRUE. Otherwise function prepare this file, but this take a lot of time.
json	"json varible" or json file. JSON need to indlude: dbname Character. Database name. host Character. Host. port Numeric. Port number. And could indlude: user Character. PostgreSQL username. password Character. PostgreSQL user's password.
save_to_file	Logical. If TRUE create a output file with name: output_file

Value

Table with count words in every time interval (default - year) in abstracts with word.

darsoo/KAROLA documentation built on May 14, 2019, 8:42 a.m.