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Automatic Summary Generator Using Nlp Based Harvested Metadata From Digital Content
Abstract
Abstract
In past two decades, there has been explosion in the amount of text data from a variety of sources. To effectively use of this volume of text is an invaluable source of information and knowledge which needs to be properly summarized to be useful. Many automatic summarization methods/Algorithms are introduced to deal with it. In this paper we proposed a new approach to generate the summarization from harvested metadata from document using NLP. As NLP stands for Natural Language Processing work on natural language that human used in day today life.
Keywords: Metadata, Extraction, NLP, Grammars, Summarization
In past two decades, there has been explosion in the amount of text data from a variety of sources. To effectively use of this volume of text is an invaluable source of information and knowledge which needs to be properly summarized to be useful. Many automatic summarization methods/Algorithms are introduced to deal with it. In this paper we proposed a new approach to generate the summarization from harvested metadata from document using NLP. As NLP stands for Natural Language Processing work on natural language that human used in day today life.
Keywords: Metadata, Extraction, NLP, Grammars, Summarization
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