A Survey of Distinctive Prominence of Automatic Text Summarization Techniques Using Natural Language Processing-Reference-Cited by-同舟云学术

A Survey of Distinctive Prominence of Automatic Text Summarization Techniques Using Natural Language Processing

Published:2020-12-01 Issue: Volume: Page:543-549
ISSN:2522-8595
Container-title:International Conference on Mobile Computing and Sustainable Informatics
language:
Short-container-title:

Author:

Dhawale Apurva D.,Kulkarni Sonali B.,Kumbhakarna Vaishali M.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49795-8_52

Reference21 articles.

1. Min-Yuh Day, C.Y.: Artificial intelligence for automatic text summarization. In: International Conference on Information Reuse and Integration for Data Science, IEEE2018, pp. 478–484. IEEE (2018)

2. Sheetal Shimpikar, S.G.: A survey of text summarization techniques for Indian regional languages. Int. J. Comput. Appl. 165(11), 29–33 (2017). (0975 – 8887)

3. Al-Taani, A.T.: Automatic text summarization approaches. In: International Conference on Infocom Technologies and Unmanned Systems (ICTUS’2017), 18–20 Dec 2017, ADET, Amity University Dubai, UAE, IEEE. IEEE, Dubai (2017)

4. Prachi Shah, N.D.: A survey of automatic text summarization techniques for Indian and foreign languages. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT 2016), pp. 4598–4601. IEEE (2016)

5. Dangre, N., Bodke, A.: System for Marathi news clustering. In: 2nd International conference on Intelligent Computing, Communication & Convergence, pp. 18–22. Elsevier, Bhubaneswar, Odissa (2016)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utilizing Deep Learning Techniques for the Classification of Spoken Languages in India;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-03-11

2. Implications of virtual reality (VR) for school teachers and instructional designers: An empirical investigation;Cogent Education;2023-10

3. Sarcasm Detection Using Deep Learning Approaches: A Review;International Journal of Recent Technology and Engineering (IJRTE);2023-03-30

4. A lightweight relation network for few-shots classification of hyperspectral images;Neural Computing and Applications;2023-02-04

5. Spoken Language Recognization Based on Features and Classification Methods;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2022-05-01