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Bilingual automatic text summarization using unsupervised deep learning

机译:使用无监督深度学习的双语自动文本摘要

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摘要

In the world of digitization, the growth of big data is raising at large scale with usage of high performance computing. The huge data in English and Hindi is available on internet and social media which need to be extracted or summarized in user required form. In this paper we are presenting Bilingual (Hindi and English) unsupervised automatic text summarization using deep learning. which is an important research area with in Natural Language Processing, Machine Learning and data mining, to improve result accuracy, we are using restricted Boltzmann machine to generate a shorter version of original document without losing its important information. In this algorithm we are exploring the features to improve the relevance of sentences in the dataset.
机译:在数字化世界中,随着高性能计算的使用,大数据的增长正在大规模增长。互联网和社交媒体上均提供大量英语和北印度语数据,需要以用户要求的形式提取或汇总这些数据。在本文中,我们将介绍使用深度学习的双语(印地文和英文)无监督自动文本摘要。这是自然语言处理,机器学习和数据挖掘中的重要研究领域,为了提高结果的准确性,我们正在使用受限的Boltzmann机器生成较短版本的原始文档,而不会丢失其重要信息。在该算法中,我们正在探索改善数据集中句子相关性的功能。

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