The Important Role of Natural Language Processing in Computational Communication Research
DOI:
https://doi.org/10.53469/ijomsr.2025.08(04).12Keywords:
Natural Language Processing Technology, Computational Communication, Word Frequency Analysis, Semantic ModelingAbstract
The rapid development of information technology has made the paradigm shift in communication studies increasingly evident, leading to a growing reliance on text data mining techniques in disciplinary research. This satisfies the developmental requirements of computational communication studies. This paper explores natural language processing (NLP) techniques, analyzing their role in integrating these technologies into computational communication research. The following conclusion is drawn: In the context of global information globalization, NLP technology is advantageous in addressing disciplinary issues.
References
Li, T. (2025). Optimization of Clinical Trial Strategies for Anti-HER2 Drugs Based on Bayesian Optimization and Deep Learning.
Peng, Y., Zhang, G., & Pang, H. (2025). Exploring the effects of IoT-enhanced exercise and cognitive training on executive function in middle-aged adults. Alexandria Engineering Journal, 120, 106-115.
Yang, Jie, et al. "Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics." arXiv preprint arXiv:2504.04295 (2025).
Ming DY, Li T, Ross MH, et al. Feasibility of post-hospitalization telemedicine video visits for children with medical complexity. J Pediatr Health Care. 2022;36(2):e22–e35
Yuan, J. (2025). Contrastive Multimodal Learning for Chest X-ray Analysis: Leveraging Text and Image Synergy. Authorea Preprints.
Wang, J., Yuan, J., Liu, J., & Evans, L. (2025). Simple Legal Compliance: Automating Regulatory Audits with Explainable LLMs.
He, J., Meng, Q., & Xu, H. (2024). Integration and Optimization of Artificial Intelligence Solutions in Modern Architectural Design. Indiana Journal of Humanities and Social Sciences, 5(11), 1-10.
Xu, Haoran. "Sustainability Enhancement in Healthcare Facility Design: Structural and Functional Optimization Based on GCN." (2025).
Liu, Z., Jian, X., Sadiq, T., Shaikh, Z. A., Alfarraj, O., Alblehai, F., & Tolba, A. (2025). Efficient control of spider-like medical robots with capsule neural networks and modified spring search algorithm. Scientific Reports, 15(1), 13828.
Lin, L., Li, N., & Zhao, S. (2025). The effect of intelligent monitoring of physical exercise on executive function in children with ADHD. Alexandria Engineering Journal, 122, 355-363.
Peng, Y., Zhang, G., & Pang, H. (2025). Impact of Short-Duration Aerobic Exercise Intensity on Executive Function and Sleep. arXiv preprint arXiv:2503.09077.
Luo, H., Wei, J., Zhao, S., Liang, A., Xu, Z., & Jiang, R. (2024). Intelligent logistics management robot path planning algorithm integrating transformer and gcn network. IECE Transactions on Internet of Things, 2(4), 95-112.
Xu, Y., & Lin, Y. (2024, November). Exploring the Influence of User-Perceived Value on NEV-Enterprises Using an Empirical Computer Model. In 3rd International Conference on Financial Innovation, FinTech and Information Technology (FFIT 2024) (pp. 4-10). Atlantis Press.
Xu, Y., Shan, X., Guo, M., Gao, W., & Lin, Y. S. (2024). Design and application of experience management tools from the perspective of customer perceived value: A study on the electric vehicle market. World Electric Vehicle Journal, 15(8), 378.
Shen, Z., Wang, Y., Hu, K., Wang, Z., & Lin, S. (2025). Exploration of Clinical Application of AI System Incorporating LSTM Algorithm for Management of Anesthetic Dose in Cancer Surgery. Journal of Theory and Practice in Clinical Sciences, 2, 17-28.
Liu, S., Zhao, Z., He, W., Wang, J., Peng, J., & Ma, H. (2025). Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection. arXiv preprint arXiv:2502.09001.