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AhoCorasickTrie
View on CRAN: Click
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Download and install AhoCorasickTrie package within the R console
Install from CRAN:
install.packages("AhoCorasickTrie")
Install from Github:
library("remotes")
install_github("cran/AhoCorasickTrie") Install by package version:
library("remotes")
install_version("AhoCorasickTrie", "0.1.3") Attach the package and use:
library("AhoCorasickTrie")
Maintained by
Matt Chambers
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-29
Latest Update: 2025-02-05
Description:
Aho-Corasick is an optimal algorithm for finding many
keywords in a text. It can locate all matches in a text in O(N+M) time; i.e.,
the time needed scales linearly with the number of keywords (N) and the size of
the text (M). Compare this to the naive approach which takes O(N*M) time to loop
through each pattern and scan for it in the text. This implementation builds the
trie (the generic name of the data structure) and runs the search in a single
function call. If you want to search multiple texts with the same trie, the
function will take a list or vector of texts and return a list of matches to
each text. By default, all 128 ASCII characters are allowed in both the keywords
and the text. A more efficient trie is possible if the alphabet size can be
reduced. For example, DNA sequences use at most 19 distinct characters and
usually only 4; protein sequences use at most 26 distinct characters and usually
only 20. UTF-8 (Unicode) matching is not currently supported.
How to cite:
Matt Chambers (2016). AhoCorasickTrie: Fast Searching for Multiple Keywords in Multiple Texts. R package version 0.1.3, https://cran.r-project.org/web/packages/AhoCorasickTrie. Accessed 05 Mar. 2026.
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Complete documentation for AhoCorasickTrie
Functions, R codes and Examples using
the AhoCorasickTrie R package
Some associated functions: AhoCorasickSearch . AhoCorasickSearchList . AhoCorasickTrie .
Some associated R codes: AhoCorasickTrie.R . RcppExports.R . Full AhoCorasickTrie package functions and examples
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