https://www.ijcnis.org/index.php/ijcnis <p><strong>International Journal of Communication Networks and Information Security (IJCNIS)</strong></p> <h3><strong>Contact Email: [email protected]</strong></h3> <p><strong>Basic Journal Information</strong></p> <ul> <li style="text-align: justify;"><strong>e-ISSN: </strong>2073-607X, <strong>p-ISSN:</strong> 2076-0930| <strong>Frequency</strong> (4 Issue Per Year) | <strong>Nature: </strong>Online and Print | <strong>Language of Publication: </strong>English | <strong>Funded By:</strong></li> <li style="text-align: justify;"><strong>Introduction: International Journal of Communication Networks and Information Security</strong> (IJCNIS) is a scholarly peer-reviewed international scientific journal published four times (March, June, September, December) in a year, focusing on theories, methods, and applications in networks and information security. It provides a challenging forum for researchers, industrial professionals, engineers, managers, and policy makers working in the field to contribute and disseminate innovative new work on networks and information security. The topics covered by this journal include, but not limited to, the following topics:</li> <ol> <li>Broadband access networks</li> <li>Wireless Internet</li> <li>Software defined &amp; ultra-wide band radio</li> <li>Bluetooth technology</li> <li>Wireless Ad Hoc and Sensor Networks</li> <li>Wireless Mesh Networks</li> <li>IEEE 802.11/802.20/802.22</li> <li>Emerging wireless network security issues</li> <li>Fault tolerance, dependability, reliability, and localization of fault</li> <li>Network coding</li> <li>Wireless telemedicine and e-health</li> <li>Emerging issues in 3G, 4G and 5G networks</li> <li>Network architecture</li> <li>Multimedia networks</li> <li>Cognitive Radio Systems</li> <li>Cooperative wireless communications</li> <li>Management, monitoring, and diagnosis of networks</li> <li>Biologically inspired communication</li> <li>Cross-layer optimization and cross-functionality designs</li> <li>Data gathering, fusion, and dissemination</li> <li>Networks and wireless networks security issues</li> <li>Optical Fiber Communication</li> <li>Internet of Things (IoT)</li> <li>Signals and Systems</li> <li>Information Theory and Coding</li> <li>Cryptology</li> <li>Computer Neural Networks</li> <li>Mobile Edge Computing and Mobile Computing</li> <li>Image Encryption Techniques</li> <li>Affective Computing</li> <li>On-chip/Inter-chip Optical Networks</li> <li>Ultra-High-Speed Optical Communication Systems</li> <li>Secure Optical Communication Technology</li> <li>Neural Network Modeling and Dynamics Behavior Analysis</li> <li>Intelligent Manufacturing</li> <li>Big Data Systems</li> <li>Database and Intelligent Information Processing</li> <li>Complex Network Control and Memristor System Analysis</li> <li>Distributed Estimation, Optimization Games</li> <li>Dynamic System Fault Diagnosis</li> <li>Brain-Inspired Neural Networks</li> <li>Memristors</li> <li>Nonlinear Systems</li> <li>Signal and Information Processing</li> <li>Multimodal Information Fusion</li> <li>Blockchain Technology</li> </ol> <li><strong>IJCNIS publishes: </strong></li> </ul> <ul> <ul> <li>Critical reviews/ Surveys</li> <li>Scientific research papers/ contributions</li> <li>Letters (short contributions)</li> </ul> </ul> <ul> <li style="text-align: justify;"><strong>Peer Review Process: </strong>All submitted papers are subjected to a comprehensive blind review process by at least 2 subject area experts, who judge the paper on its relevance, originality, clarity of presentation and significance. The review process is expected to take 8-12 weeks at the end of which the final review decision is communicated to the author. In case of rejection authors will get helpful comments to improve the paper for resubmission to other journals. The journal may accept revised papers as new papers which will go through a new review cycle.</li> <li style="text-align: justify;"><strong>Periodicity: </strong>The Journal is published in 4 issues per year.</li> <li style="text-align: justify;"><strong>Editorial Contribution Percentage in Articles Per Year:</strong> 30%</li> </ul> <p> </p> en-US [email protected] (International Journal of Communication Networks and Information Security) [email protected] (Support Engineer) Mon, 24 Mar 2025 00:00:00 +0530 OJS 3.2.1.4 http://blogs.law.harvard.edu/tech/rss 60 https://www.ijcnis.org/index.php/ijcnis/article/view/8070 <p>This paper aims at incorporating Text and Content NLP while analyzing the Twitter data to gain sentiment and context. To do achieve the above goal, the framework, which deploys sophisticated deep learning topologies such as the transformer-based model and the convolutional neural networks (CNNs), is capable of analyzing tweets with both textual and image data. The proposed system will help in the detection of sarcasm, understanding of irony and general sentiment classification. The paper also shows an hour of training on action recognition on action as well as the improved accuracy and interpretability when compared with other unimodal models. The findings of the conducted research advance the field of multimodal sentiment analysis and can be implemented in practice for social media monitoring and analysis, as well as in the management of brand image, and in the analysis of public opinions. Further research entails enlarging the data set as well as improving the model to increase the stability and live processing performance.</p> Sravan Kumar Devulapalli, Dr. Suresh Kumar Mandala Copyright (c) 2025 https://www.ijcnis.org/index.php/ijcnis/article/view/8070 Mon, 24 Mar 2025 00:00:00 +0530