SURVEY OF AUTOMATED TEXT DOCUMENT SUMMARIZATION TOOLS: APPROACHES AND TRENDS
Abstract
This survey presents an extensive exploration of automated text document summarization tools, focusing on the diverse approaches and emerging trends in this field. With the proliferation of digital information, the need to extract key insights from large volumes of textual content has become increasingly vital. This study surveys various methods employed in automated summarization, including extractive and abstractive techniques, along with their strengths, limitations, and real-world applications. By analyzing the evolution of these tools, the survey highlights the current trends, challenges, and future directions in automated text document summarization.
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References
IEEE Transactions on Knowledge and Data Engineering,Vol.24,No.1,January 2012 Tscan: A Content Anatomy approach to Temporal Topic SummarizationChien Chin Chen and Meng Chang Chen
IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol.22,No.12,December 2014SRRank: Leveraging Semantic Roles for Extractive Multi Document Summarization by Su Yan and Xiaojun Wan.
IEEE Transactions on Knowledge and Data Engineering,Vol.25,No.8,August 2013 A Context-Based Word Indexing Model for Document Summarization by Pawan Goyal, Laxmidhar Behera, Senior Member, IEEE, andThomas Martin McGinnity, Senior Member, IEEE
IEEE/ACM Transactions on Audio, Speech, and Language Processing,Vol.21,No.7,July 2013Ranking Through Clustering: An Integrated Approach to Multi-Document Summarization by Xiaoyan Cai and Wenjie Li.
IEEE Transactions on FuzzySystems1063-6706 (c) 2013 IEEE.Using data merging techniques for generating multi-document summarizations by Daan Van Britsom, Antoon Bronselaer, Department of Telecommunications and Information Processing, Ghent UniversitySint-Pietersnieuwstraat 41, B-9000 Ghent, Belgium
International Journal of Computer Science & Information Technology (IJCSIT) Vol 5, No 6, December 2013Multi-Topic Multi-Document Summarizer by Fatma El-Ghannam1 and Tarek El-Shishtawy2
Association of deep learning algorithm with Fuzzy Logic for Multi document text summarization by G.P.ADMAPRIYAJournal of Theoretical and applied IT 10thApril 2014 Vol.62 NO.1
TECHNIA –International Journal of Computing Science and Communication Technologies, VOL. 2, NO. 1, July 2009. (ISSN 0974-3375)Sentence Clustering-based Summarization of Multiple Text Documents by Kamal Sarkar
International Science Conferences, ACM, Jgateplus, ebsco, ijit libraries.
A Hybrid Approach for Extractive Document Summarization Using Machine Learning andClustering Technique(IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014
