| Name : R-discoverableresearch
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.18.1
| Date : 2024-06-08 14:02:49
|
| Group : Development/Libraries/Other
| Source RPM : R-discoverableresearch-0.0.1-lp155.18.1.src.rpm
|
| Size : 1.25 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Checks Title, Abstract and Keywords to Optimise Discoverability
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
