# SMS Spam Detection using NLP and Deep Learning Recurrent Neural Network Variants

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sms-spam-detection-using-nlp-and-deep-learning-recurrent-neural-network-variants/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Vangapandu Venkata Kalyani,M. V. Rama Sundari,S. Neelima,Pennada Siva Satya Prasad,Permanand Mohan,A. Lakshmanarao |
| Citations | 9 |
| DOI | 10.1109/icc-robins60238.2024.10533895 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4398163943 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [S. Neelima](https://scholariq.org/researchers/s-neelima/)

## Paper primary topic

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)

## Paper topics

- [Spam and Phishing Detection](https://scholariq.org/topics/spam-and-phishing-detection/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Internet Traffic Analysis and Secure E-voting](https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/)

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