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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