termExtraction: Term extraction tool from textual fields of a manuscript

In massimoaria/bibliometrix: Comprehensive Science Mapping Analysis

Term extraction tool from textual fields of a manuscript

Description

It extracts terms from a text field (abstract, title, author's keywords, etc.) of a bibliographic data frame.

Usage

termExtraction(
  M,
  Field = "TI",
  ngrams = 1,
  stemming = FALSE,
  language = "english",
  remove.numbers = TRUE,
  remove.terms = NULL,
  keep.terms = NULL,
  synonyms = NULL,
  verbose = TRUE
)

Arguments

M	is a data frame obtained by the converting function convert2df. It is a data matrix with cases corresponding to articles and variables to Field Tag in the original WoS or SCOPUS file.
Field	is a character object. It indicates the field tag of textual data : "TI" Manuscript title "AB" Manuscript abstract "ID" Manuscript keywords plus "DE" Manuscript author's keywords The default is Field = "TI".
ngrams	is an integer between 1 and 3. It indicates the type of n-gram to extract from texts. An n-gram is a contiguous sequence of n terms. The function can extract n-grams composed by 1, 2, 3 or 4 terms. Default value is ngrams=1.
stemming	is logical. If TRUE the Porter Stemming algorithm is applied to all extracted terms. The default is stemming = FALSE.
language	is a character. It is the language of textual contents ("english", "german","italian","french","spanish"). The default is language="english".
remove.numbers	is logical. If TRUE all numbers are deleted from the documents before term extraction. The default is remove.numbers = TRUE.
remove.terms	is a character vector. It contains a list of additional terms to delete from the corpus after term extraction. The default is remove.terms = NULL.
keep.terms	is a character vector. It contains a list of compound words "formed by two or more terms" to keep in their original form in the term extraction process. The default is keep.terms = NULL.
synonyms	is a character vector. Each element contains a list of synonyms, separated by ";", that will be merged into a single term (the first word contained in the vector element). The default is synonyms = NULL.
verbose	is logical. If TRUE the function prints the most frequent terms extracted from documents. The default is verbose=TRUE.

Value

the bibliometric data frame with a new column containing terms about the field tag indicated in the argument Field.

See Also

convert2df to import and convert an WoS or SCOPUS Export file in a bibliographic data frame.

biblioAnalysis function for bibliometric analysis

Examples

# Example 1: Term extraction from titles

data(scientometrics, package = "bibliometrixData")

# vector of compound words
keep.terms <- c("co-citation analysis","bibliographic coupling")

# term extraction
scientometrics <- termExtraction(scientometrics, Field = "TI", ngrams = 1,
remove.numbers=TRUE, remove.terms=NULL, keep.terms=keep.terms, verbose=TRUE)

# terms extracted from the first 10 titles
scientometrics$TI_TM[1:10]


#Example 2: Term extraction from abstracts

data(scientometrics)

# term extraction
scientometrics <- termExtraction(scientometrics, Field = "AB", ngrams = 2, 
 stemming=TRUE,language="english",
 remove.numbers=TRUE, remove.terms=NULL, keep.terms=NULL, verbose=TRUE)

# terms extracted from the first abstract
scientometrics$AB_TM[1]

# Example 3: Term extraction from keywords with synonyms

data(scientometrics)

# vector of synonyms 
synonyms <- c("citation; citation analysis", "h-index; index; impact factor")

# term extraction
scientometrics <- termExtraction(scientometrics, Field = "ID", ngrams = 1,
synonyms=synonyms, verbose=TRUE)

massimoaria/bibliometrix documentation built on Dec. 12, 2024, 12:47 p.m.