Package com.kohlschutter.boilerpipe.filters.english

These BoilerpipeFilters have only been tested on English text. That is, they will probably work with other Western languages, but maybe need some parameter tuning to perform well.

Class Summary

Class	Description
DensityRulesClassifier	Classifies TextBlocks as content/not-content through rules that have been determined using the C4.8 machine learning algorithm, as described in the paper "Boilerplate Detection using Shallow Text Features", particularly using text densities and link densities.
HeuristicFilterBase	Base class for some heuristics that are used by boilerpipe filters.
IgnoreBlocksAfterContentFilter	Marks all blocks as "non-content" that occur after blocks that have been marked DefaultLabels.INDICATES_END_OF_TEXT.
IgnoreBlocksAfterContentFromEndFilter	Marks all blocks as "non-content" that occur after blocks that have been marked DefaultLabels.INDICATES_END_OF_TEXT, and after any content block.
KeepLargestFulltextBlockFilter	Keeps the largest TextBlock only (by the number of words).
MinFulltextWordsFilter	Keeps only those content blocks which contain at least k full-text words (measured by HeuristicFilterBase.getNumFullTextWords(TextBlock)).
NumWordsRulesClassifier	Classifies TextBlocks as content/not-content through rules that have been determined using the C4.8 machine learning algorithm, as described in the paper "Boilerplate Detection using Shallow Text Features" (WSDM 2010), particularly using number of words per block and link density per block.
TerminatingBlocksFinder	Finds blocks which are potentially indicating the end of an article text and marks them with DefaultLabels.INDICATES_END_OF_TEXT.