Package: lexRankr 0.5.2
lexRankr: Extractive Summarization of Text with the LexRank Algorithm
An R implementation of the LexRank algorithm described by G. Erkan and D. R. Radev (2004) <doi:10.1613/jair.1523>.
Authors:
lexRankr_0.5.2.tar.gz
lexRankr_0.5.2.zip(r-4.5)lexRankr_0.5.2.zip(r-4.4)lexRankr_0.5.2.zip(r-4.3)
lexRankr_0.5.2.tgz(r-4.4-x86_64)lexRankr_0.5.2.tgz(r-4.4-arm64)lexRankr_0.5.2.tgz(r-4.3-x86_64)lexRankr_0.5.2.tgz(r-4.3-arm64)
lexRankr_0.5.2.tar.gz(r-4.5-noble)lexRankr_0.5.2.tar.gz(r-4.4-noble)
lexRankr_0.5.2.tgz(r-4.4-emscripten)lexRankr_0.5.2.tgz(r-4.3-emscripten)
lexRankr.pdf |lexRankr.html✨
lexRankr/json (API)
NEWS
# Install 'lexRankr' in R: |
install.packages('lexRankr', repos = c('https://adamspannbauer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/adamspannbauer/lexrankr/issues
- smart_stopwords - SMART English Stopwords
lexranklexrank-algorithmnlprstat
Last updated 2 years agofrom:87f49161e3. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win-x86_64 | OK | Nov 01 2024 |
R-4.5-linux-x86_64 | OK | Nov 01 2024 |
R-4.4-win-x86_64 | OK | Nov 01 2024 |
R-4.4-mac-x86_64 | OK | Nov 01 2024 |
R-4.4-mac-aarch64 | OK | Nov 01 2024 |
R-4.3-win-x86_64 | OK | Nov 01 2024 |
R-4.3-mac-x86_64 | OK | Nov 01 2024 |
R-4.3-mac-aarch64 | OK | Nov 01 2024 |
Exports:bind_lexrankbind_lexrank_lexRanklexRankFromSimilsentenceParsesentenceSimilsentenceTokenParsetokenizeunnest_sentencesunnest_sentences_
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRcpprlangSnowballCvctrs
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bind lexrank scores to a dataframe of text | bind_lexrank bind_lexrank_ |
Extractive text summarization with LexRank | lexRank |
Compute LexRanks from pairwise sentence similarities | lexRankFromSimil |
Utility to parse sentences from text | sentence_parser |
Parse text into sentences | sentenceParse |
Compute distance between sentences | sentenceSimil |
Parse text into sentences and tokens | sentenceTokenParse |
SMART English Stopwords | smart_stopwords |
Tokenize a character vector Parse the elements of a character vector into a list of cleaned tokens. | tokenize |
Split a column of text into sentences | unnest_sentences unnest_sentences_ |