基于TextRank算法的泰卢固语文档提取摘要

2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Pub Date : 2020-10-07 DOI:10.1109/I-SMAC49090.2020.9243568

K. Manjari

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引用次数: 9

摘要

阅读大型和冗长的文档是一项乏味和耗时的任务。同一文档的摘要可以让我们对该文档的内容有一个总体的了解。可以使用各种算法生成自动摘要。可以为单个或多个文档输入生成摘要。本文提出的系统对多个泰卢固语文本文档进行了抽取摘要。这里使用的算法是文本排序算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Extractive Summarization of Telugu Documents using TextRank Algorithm

Reading large and lengthy documents is a tedious and time-consuming task. A summary of the same document gives us an overall idea of what the document is all about. Automated summaries can be generated using various algorithms. The summary can be generated for single or multiple document inputs. Here the proposed system carries out extractive summarization of multiple Telugu text documents. The algorithm applied here is text rank algorithm.

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来源期刊

2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

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