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Handbook of Research on Natural Language Processing and Smart Service Systems
Brief description of the full document while preserving the full meaning.
Published in Chapter:
Text Summarization and Its Types: A Literature Review
Namrata Kumari (National Institute of Technology, Hamirpur, India) and Pardeep Singh (National Institute of Technology, Hamirpur, India)
DOI: 10.4018/978-1-7998-4730-4.ch017
Abstract
Text summarization is a compressing technique of the original text to form a summary which will provide the same meaning and information as provided by the original version. Summarizer helps in saving time and increasing efficiency. This chapter gives the full insight of text summarizers, which can be categorized based on methodology, function and target reader, dimension, and language. Various researches have been conducted in the field of text summarization using different approaches. Consequently, the chapter aims to provide an overview of how text summarizers work with different methods and state their domain-oriented applications. Additionally, the authors discuss multi-lingual text summarization in detail. This chapter focuses on showing the effectiveness and shortcomings of text summarization approaches by comparing them.
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More Results
Automatic Text Summarization in Digital Libraries
A brief representation of the main content of a source (or sources).
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Scaling and Semantically-Enriching Language-Agnostic Summarization
A reductive transformation of a text, keeping as much information as possible.
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