discoverableresearch: Checks Title, Abstract and Keywords to Optimise Discoverability

A suite of tools are provided here to support authors in making their research more discoverable. check_keywords() - this function checks the keywords to assess whether they are already represented in the title and abstract. check_fields() - this function compares terminology used across the title, abstract and keywords to assess where terminological diversity (i.e. the use of synonyms) could increase the likelihood of the record being identified in a search. The function looks for terms in the title and abstract that also exist in other fields and highlights these as needing attention. suggest_keywords() - this function takes a full text document and produces a list of unigrams, bigrams and trigrams (1-, 2- or 2-word phrases) present in the full text after removing stop words (words with a low utility in natural language processing) that do not occur in the title or abstract that may be suitable candidates for keywords. suggest_title() - this function takes a full text document and produces a list of the most frequently used unigrams, bigrams and trigrams after removing stop words that do not occur in the abstract or keywords that may be suitable candidates for title words. check_title() - this function carries out a number of sub tasks: 1) it compares the length (number of words) of the title with the mean length of titles in major bibliographic databases to assess whether the title is likely to be too short; 2) it assesses the proportion of stop words in the title to highlight titles with low utility in search engines that strip out stop words; 3) it compares the title with a given sample of record titles from an .ris import and calculates a similarity score based on phrase overlap. This highlights the level of uniqueness of the title. This version of the package also contains functions currently in a non-CRAN package called 'litsearchr' <https://github.com/elizagrames/litsearchr>.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: dplyr, graphics, magrittr, ngram, readr, stats, stringdist, stringi, stopwords, synthesisr, tm
Suggests: knitr, rmarkdown
Published: 2020-10-10
Author: Neal Haddaway ORCID iD [aut, cre]
Maintainer: Neal Haddaway <nealhaddaway at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: discoverableresearch results

Downloads:

Reference manual: discoverableresearch.pdf
Vignettes: Assessing the discoverability of a research record based on title, abstract and keywords using discoverableresearch v0.0.0.9000
Package source: discoverableresearch_0.0.1.tar.gz
Windows binaries: r-devel: discoverableresearch_0.0.1.zip, r-release: discoverableresearch_0.0.1.zip, r-oldrel: discoverableresearch_0.0.1.zip
macOS binaries: r-release (arm64): discoverableresearch_0.0.1.tgz, r-release (x86_64): discoverableresearch_0.0.1.tgz, r-oldrel: discoverableresearch_0.0.1.tgz

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