Automatic summarizer text in Swift

Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and other techniques.

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Automatic Keyphrase Extraction: A Survey of the State of the Art

Extractive text summarization using various algorithms

Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.

Text Rank with Python

Swift implementation of TextRank algorithm

This is the implementation of text summarization using TextRank as described in the EMNLP - 2004 paper on TextRank: Bringing Order into Texts.

A hackathon-winning service to extract key information and summary from text.

基于text-rank进行关键词提取

Automatic Text Summarization

Text summarization using LSA, TextRank