Automatic Short Text Summarization Techniques in Social Media Platforms
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 w...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/15/9/311 |
| _version_ | 1797579959020027904 |
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| author | Fahd A. Ghanem M. C. Padma Ramez Alkhatib |
| author_facet | Fahd A. Ghanem M. C. Padma Ramez Alkhatib |
| author_sort | Fahd A. Ghanem |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:44:27Z |
| format | Article |
| id | doaj.art-8365865d685f4c55848b9764ed3a63c9 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T22:44:27Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-8365865d685f4c55848b9764ed3a63c92023-11-19T10:49:26ZengMDPI AGFuture Internet1999-59032023-09-0115931110.3390/fi15090311Automatic Short Text Summarization Techniques in Social Media PlatformsFahd A. Ghanem0M. C. Padma1Ramez Alkhatib2Department of Computer Science & Engineering, PES College of Engineering, (Affiliated to University of Mysore), Mandya 571401, Karnataka, IndiaDepartment of Computer Science & Engineering, PES College of Engineering, (Affiliated to University of Mysore), Mandya 571401, Karnataka, IndiaBMB Nord, Research Center Borstel, Parkallee 35, 23845 Borstel, GermanyThe 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.https://www.mdpi.com/1999-5903/15/9/311text summarizationsocial mediaevaluation metricsabstractive summarizationextractive summarizationmachine learning |
| spellingShingle | Fahd A. Ghanem M. C. Padma Ramez Alkhatib Automatic Short Text Summarization Techniques in Social Media Platforms Future Internet text summarization social media evaluation metrics abstractive summarization extractive summarization machine learning |
| title | Automatic Short Text Summarization Techniques in Social Media Platforms |
| title_full | Automatic Short Text Summarization Techniques in Social Media Platforms |
| title_fullStr | Automatic Short Text Summarization Techniques in Social Media Platforms |
| title_full_unstemmed | Automatic Short Text Summarization Techniques in Social Media Platforms |
| title_short | Automatic Short Text Summarization Techniques in Social Media Platforms |
| title_sort | automatic short text summarization techniques in social media platforms |
| topic | text summarization social media evaluation metrics abstractive summarization extractive summarization machine learning |
| url | https://www.mdpi.com/1999-5903/15/9/311 |
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