Performance Analysis of Tweet Summarization Techniques Considering Crisis Dynamics-Reference-Cited by-同舟云学术

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Performance Analysis of Tweet Summarization Techniques Considering Crisis Dynamics

Published:2024-01-04 Issue: Volume: Page:418-423
ISSN:
Container-title:Proceedings of the 25th International Conference on Distributed Computing and Networking
language:
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Author:

Mahindrakar Shrikant Manikarao¹^ORCID,Mondal Tamal²^ORCID,Dhakne Amol³^ORCID,Arosh Sirshendu²^ORCID,Bhattacharya Indrajit⁴^ORCID

Affiliation:

1. School Of computer science engineering and application, D.Y.Patil International University Pune, India

2. Symbiosis Centre for Information Technology, India

3. Department of Computer Science and engineering, Dr. D.Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, IN

4. Kalyani Govt. Engineering College India, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631461.3631951

Reference17 articles.

1. S. Dutta, V. Chandra, K. Mehra, S. Ghatak, A. K. Das, and S. Ghosh. 2019. Summarizing Microblogs During Emergency Events: A Comparison of Extractive Summarization Algorithms. In Proceedings of [Conference Name]. Springer Verlag.

2. S. Dutta Sujata Ghatak M. Roy S. Ghosh and Asit Kumar Das. 2015. A graph based clustering technique for tweet summarization. https://doi.org/10.1109/icrito.2015.7359276

3. Automatic text summarization: A comprehensive survey

4. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization

5. Sustainable text summarization over mobile devices: An energy-aware approach

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