Automatic Text Summarization of Konkani Folk Tales Using Supervised Machine Learning Algorithms and Language Independent Features
Author:
Affiliation:
1. Department of Computer Science Engineering, Assam Don Bosco University, Guwahati, Assam 781 017, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.1987993
Reference57 articles.
1. N. Moratanch, and S. Chitrakala. “A survey on extractive text summarization,” in IEEE International Conference on Computer, Communication and Signal Processing (ICCCSP), 2017. DOI:10.1109/icccsp.2017.7944061.
2. N. Andhale, and L. A. Bewoor. “An overview of Text Summarization techniques,” in International Conference on Computing Communication Control and Automation (ICCUBEA), 2016. DOI:10.1109/iccubea.2016.7860024.
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1. Development and Performance Evaluation of Text Summarization using Deep Learning and Natural Language Processing Techniques;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
2. Impact of Similarity Measures in Graph-based Automatic Text Summarization of Konkani Texts;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-02-21
3. Supervised Automatic Text Summarization of Konkani Texts Using Linear Regression-Based Feature Weighing and Language-Independent Features;International Conference on Innovative Computing and Communications;2022-09-27
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