Extractive text summarization using clustering-based topic modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07534-6.pdf
Reference86 articles.
1. Abdi A, Idris N, Alguliyev RM, Aliguliyev RM (2017) Query-based multi-documents summarization using linguistic knowledge and content word expansion. Soft Comput 21(7):1785–1801
2. Abdi A, Shamsuddin SM, Aliguliyev RM (2018) Qmos: query-based multi-documents opinion-oriented summarization. Inf Process Manag 54(2):318–338
3. Abdi A, Shamsuddin SM, Hasan S, Piran J (2018) Machine learning-based multi-documents sentiment-oriented summarization using linguistic treatment. Expert Syst Appl 109:66–85. https://doi.org/10.1016/j.eswa.2018.05.010
4. Ali SM, Noorian Z, Bagheri E, Ding C, Al-Obeidat F (2020) Topic and sentiment aware microblog summarization for twitter. J Intell Inf Syst 54(1):129–156
5. Amplayo RK, Song M (2017) An adaptable fine-grained sentiment analysis for summarization of multiple short online reviews. Data Knowl Eng 110:54–67
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