{"product_id":"multi-document-summarization-query-based-summarization-von-rohit-pachlor","title":"Multi-Document Summarization","description":"\u003cp\u003eThe world is overloaded with information due to the internet revolution. This calls for an efficient and accurate summarization system to extract relevant information. Text summarization system automatically generates a summary of a given document and helps people to take effective decisions in less time. In this book two methods have been proposed for query-focused multi-document summarization that uses k-mean clustering and term-frequency-inverse-sentence-frequency method for sentence weighting to rank the sentences of the document(s) with respect to a given query. The proposed methods find the proximity of documents and query, and later uses this proximity to rank sentences of each document. A comparative study for proposed methods has been done and experimental results shows that both methods are comparable because of a slight difference in performance. DUC 2007 test dataset and ROUGH-1.5.5 summarization evaluation package is used for evaluation purpose.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783659453229\"\u003e\u003ch3\u003eQuery-based Summarization\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9783659453229","offer_id":39434314743901,"sku":"9783659453229","price":54.9,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/2cf74c36-6dea-44df-8a03-d45f64ae134e.jpg?v=1773121991","url":"https:\/\/shop.autorenwelt.de\/en\/products\/multi-document-summarization-query-based-summarization-von-rohit-pachlor","provider":"Autorenwelt Shop","version":"1.0","type":"link"}