A new graph-based extractive text summarization using keywords or topic modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02591-x.pdf
Reference68 articles.
1. Abdi A, Shamsuddin SM, Aliguliyev RM (2018a) Qmos: Query-based multi-documents opinion-oriented summarization. Inform Process Manage 54(2):318–338
2. Abdi A, Shamsuddin SM, Hasan S, Piran J (2018b) 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
3. Ali SM, Noorian Z, Bagheri E, Ding C, Al-Obeidat F (2020) Topic and sentiment aware microblog summarization for twitter. J Intell Inform Syst 54(1):129–156. https://doi.org/10.1007/s10844-018-0521-8
4. Allahyari M, Pouriyeh S, Assefi M, Safaei S, Trippe ED, Gutierrez JB, Kochut K (2017) Text summarization techniques: a brief survey. arXiv preprint arXiv:170702268
5. Alterman R (1991) Understanding and summarization. Artif Intell Rev 5(4):239–254
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