Technical Realization and Future Prospects of Natural Language Processing (NLP) in Multi-Domain Applications

Hongsheng Li

2025

Abstract

In the context of the intelligent era, natural language processing (NLP), as the core technology of human-computer interaction and knowledge mining, is continuously driving technological innovation in the field with its multi-disciplinary application demands. This paper systematically explores the evolution law of NLP technology from traditional statistical learning to deep learning and pre-training models through the comparative analysis method and typical technology case validation and proposes key technology innovation paths based on the differentiated scenarios in three major fields, namely, business, healthcare, and education. This paper concludes that the technology iteration significantly improves the semantic understanding ability of the model through multi-scale feature fusion, but the cross-domain application still has problems such as performance attenuation due to data noise, and the conflict between the trade-off between privacy protection and model utility. By integrating federated learning and multimodal semantic alignment strategies, the study proposes a solution that balances technical performance and ethical constraints. The results provide a quantifiable evaluation framework for the cross-domain deployment of NLP technology, and its methodology has been validated for utility in financial risk control, intelligent diagnosis, and treatment scenarios, which is a reference for the subsequent low-resource scenarios application and the integration of multimodal technology.

Paper Citation

in Harvard Style

Li H. (2025). Technical Realization and Future Prospects of Natural Language Processing (NLP) in Multi-Domain Applications. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 564-572. DOI: 10.5220/0013702100004670

in Bibtex Style

@conference{icdse25,
author={Hongsheng Li},
title={Technical Realization and Future Prospects of Natural Language Processing (NLP) in Multi-Domain Applications},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={564-572},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013702100004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Technical Realization and Future Prospects of Natural Language Processing (NLP) in Multi-Domain Applications
SN - 978-989-758-765-8
AU - Li H.
PY - 2025
SP - 564
EP - 572
DO - 10.5220/0013702100004670
PB - SciTePress