CLJul 7, 2017

Text Summarization Techniques: A Brief Survey

arXiv:1707.02268v3554 citations
Originality Synthesis-oriented
AI Analysis

It provides an overview for researchers and practitioners dealing with text data, but it is incremental as it is a survey without novel contributions.

This paper surveys automatic text summarization techniques to address the challenge of managing large volumes of text data, reviewing various methods and their effectiveness without presenting new experimental results.

In recent years, there has been a explosion in the amount of text data from a variety of sources. This volume of text is an invaluable source of information and knowledge which needs to be effectively summarized to be useful. In this review, the main approaches to automatic text summarization are described. We review the different processes for summarization and describe the effectiveness and shortcomings of the different methods.

Foundations

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