Text Summarization Techniques: A Brief Survey
Mehdi Allahyari, Seyedamin Pouriyeh, Mehdi Assefi, Saeid Safaei,, Elizabeth D. Trippe, Juan B. Gutierrez, Krys Kochut

TL;DR
This survey reviews various automatic text summarization methods, discussing their processes, effectiveness, and limitations to help understand current techniques in managing large text data.
Contribution
It provides a comprehensive overview of existing text summarization approaches, highlighting their strengths and weaknesses in a structured manner.
Findings
Different summarization methods vary in effectiveness
Many approaches face challenges with information retention
The survey identifies gaps for future research
Abstract
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.
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