NEWS.md

In lexRankr: Extractive Summarization of Text with the LexRank Algorithm

lexRankr 0.5.2

• fix damping bug where damping parameter wasn't passed to igraph::pagerank

lexRankr 0.5.1

• changed smart_stopwords to be internal data so that package doesnt need to be explicitly loaded with library to be able to parse

lexRankr 0.5.0

• bug fix in sentence parsing for parsing exclamatory sentences
• converted idf calculation from idf(d, t) = log( n / df(d, t) ) to idf(d, t) = log( n / df(d, t) ) + 1 to avoid zeroing out common word tfidf values
• removed dplyr, tidyr, stringr, magrittr, & tm as dependencies
• created option to bypass assumption that each row/vector-element are different documents in lexRank and unnest_sentences
• various bug fixes in token & sentence parsing

lexRankr 0.4.1

• added bug report url: (https://github.com/AdamSpannbauer/lexRankr/issues/)
• formatting updates to README.md

lexRankr 0.4.0

• added functions unnest_sentences and unnest_sentences_ to parse sentences in a dataframe following tidy data principles
• added functions bind_lexrank and bind_lexrank_ to calculate lexrank scores for sentences in a dataframe following tidy data principles (unnest_sentences & bind_lexrank can be used on a df in a magrittr pipeline)
• added vignette for using lexrank to analyze tweets

lexRankr 0.3.0

• sentence similarity from sentenceSimil now calculated using Rcpp. Improves speed by ~25%-30% over old implementation using proxy package

lexRankr 0.2.0

• Added logic to avoid naming conflicts in proxy::pr_DB in sentenceSimil (#1, @AdamSpannbauer)

• Added check and error for cases where no sentences above threshold in lexRankFromSimil (#2, @AdamSpannbauer)

• tokenize now has stricter punctuation removal. Removes all non-alphnumeric characters as opposed to removing [:punct:]

lexRankr documentation built on May 2, 2019, 1:29 p.m.