| Issue |
E3S Web Conf.
Volume 619, 2025
3rd International Conference on Sustainable Green Energy Technologies (ICSGET 2025)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 9 | |
| Section | Smart Electronics for Sustainable Solutions | |
| DOI | https://doi.org/10.1051/e3sconf/202561903005 | |
| Published online | 12 March 2025 | |
Leveraging Deep Learning and NLP for Automated Text Summarization in Healthcare
1 Professor, Department of Computer Science Engineering, CVR College of Engineering, Ibrahimpatnam, Hyderabad, India, teaching.usha@gmail.com
2 Professor, Department of Electrical and Electronics Engineering, CVR College of Engineering, Ibrahimpatnam, Hyderabad, India, swarupamalladi@gmail.com
* Corresponding author: teaching.usha@gmail.com
Given the abundance of information available on the Internet in the present era, it is imperative to develop a more effective method for swiftly and efficiently retrieving information. To extract data perfectly, consolidated data from lengthy written material. There is a vast amount of text content available on the Internet. Because of this, it can be difficult to find pertinent are from different documents. To extract useful aforementioned two issues, automatic text summarization is necessary. Text summarizing is the process of identifying the most important and noteworthy information from a document or collection of related papers and condensing it into a shorter version while preserving its overall meanings.
Key words: Summarization of Text / Natural Language Processing / Abstractive Summary / Extractive Summary / Deep Learning
© The Authors, published by EDP Sciences, 2025
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