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Automatic Short Text Summarization Techniques in Social Media Platforms.

Authors :
Ghanem, Fahd A.
Padma, M. C.
Alkhatib, Ramez
Source :
Future Internet; Sep2023, Vol. 15 Issue 9, p311, 27p
Publication Year :
2023

Abstract

The rapid expansion of social media platforms has resulted in an unprecedented surge of short text content being generated on a daily basis. Extracting valuable insights and patterns from this vast volume of textual data necessitates specialized techniques that can effectively condense information while preserving its core essence. In response to this challenge, automatic short text summarization (ASTS) techniques have emerged as a compelling solution, gaining significant importance in their development. This paper delves into the domain of summarizing short text on social media, exploring various types of short text and the associated challenges they present. It also investigates the approaches employed to generate concise and meaningful summaries. By providing a survey of the latest methods and potential avenues for future research, this paper contributes to the advancement of ASTS in the ever-evolving landscape of social media communication. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19995903
Volume :
15
Issue :
9
Database :
Complementary Index
Journal :
Future Internet
Publication Type :
Academic Journal
Accession number :
172419730
Full Text :
https://doi.org/10.3390/fi15090311