summarizers
Interfaces, Classes, Traits and Enums
- CentroidSummarizer
- Class which may be used by TextProcessors to get a summary for a text document that may later be used for indexing. This is done by the @see getSummmary method. getSummary does this splitting the document into sentences and computing inverse sentence frequency (should be ISL, but we call IDF) scores for each term. It then computes an average document vector (we call centroid) with components (total number of occurrences of term) * (IDF score of term).
- CentroidWeightedSummarizer
- Class which may be used by TextProcessors to get a summary for a text document that may later be used for indexing. This is done by the @see getSummmary method. To generate a summary a normalized term frequency vector is computed for each sentence. An average vector is then computed by summing these and renormalizing the result.
- GraphBasedSummarizer
- Class which may be used by TextProcessors to get a summary for a text document that may later be used for indexing. The method @see getSummary is used to obtain such a summary. In GraphBasedSummarizer's implementation of this method sentences are ranks using a page rank style algorithm based on sentence adjacencies calculated using a distortion score between pair of sentence (@see LinearAlgebra::distortion for details on this).
- ScrapeSummarizer
- Class which may be used by TextProcessors to get a summary for a text document that may later be used for indexing.
- Summarizer
- Base class for all summarizers. Summarizers chief method is getSummary which is supposed to take a text or XML document and produces a summary of that document up to PageProcessor::$max_description_len many characters. Summarizers also contain various methods to generate word cloud from such a summary