# NLP-Based Automatic Summarization using Bidirectional Encoder Representations from Transformers-Long Short Term Memory Hybrid Model: Enhancing Text Compression

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/nlp-based-automatic-summarization-using-bidirectional-encoder-representations/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ranju S Kartha,Sanjay Agal,Niyati Dhirubhai Odedra,Ch Sudipta Kishore Nanda,Vuda Sreenivasa Rao,Annaji M Kuthe,Ahmed I. Taloba |
| Citations | 9 |
| DOI | 10.14569/ijacsa.2024.01505124 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | http://thesai.org/Downloads/Volume15No5/Paper_124-NLP_Based_Automatic_Summarization.pdf |
| OpenAlex ID | https://openalex.org/W4399259883 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Sanjay Agal](https://scholariq.org/researchers/sanjay-agal/)

## Paper journal

- [International Journal of Advanced Computer Science and Applications](https://scholariq.org/journals/international-journal-of-advanced-computer-science-and-applications/)

## Paper primary topic

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)

## Paper topics

- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Technology and Data Analysis](https://scholariq.org/topics/technology-and-data-analysis/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.