Researchers commonly need to summarize scientific information, a process known as 'evidence synthesis'. The first stage of a synthesis process (such as a systematic review or meta-analysis) is to download a list of references from academic search engines such as 'Web of Knowledge' or 'Scopus'. The traditional approach to systematic review is then to sort these data manually, first by locating and removing duplicated entries, and then screening to remove irrelevant content by viewing titles and abstracts (in that order). 'revtools' provides interfaces for each of these tasks. An alternative approach, however, is to draw on tools from machine learning to visualise patterns in the corpus. In this case, you can use 'revtools' to render ordinations of text drawn from article titles, keywords and abstracts, and interactively select or exclude individual references, words or topics.
Article screening
screen_duplicates
Screen for duplicates
screen_titles
Screen articles by title
screen_abstracts
Screen articles by abstract
screen_topics
Screen data by topic
Bibliographic methods
read_bibliography
Import bibliographic data
write_bibliography
Export bibliographic data
bibliography-class
Format for storing bibliographic data
bibliography-methods
Print, summary, as.bibliography, as.data.frame and [ methods for class 'bibliography'
tag_lookup
Lookup table for ris tag transformations
merge_columns
rbind two data.frames with different numbers of columns
format_citation
Return a clean citation from a bibliography or data.frame
add_line_breaks
Set a maximum character width for strings in a vector
Distributing tasks among a team
allocate_effort
Specify how to distribute screening effort among a team of reviewers
distribute_tasks
Split a dataset among a team of reviewers
aggregate_tasks
Combine screening results from a team of reviewers
Duplicate detection
fuzz_functions
Fuzzy string matching
find_duplicates
Locate potentially duplicated references
extract_unique_references
Return a data.frame with only 'unique' references
screen_duplicates
Screen for duplicates
Text mining
revwords
Stopwords used in revtools functions
make_dtm
Construct a Document-Term Matrix from bibliographic data
run_topic_model
Wrapper function for topic models
screen_topics
Screen data by topic
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