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Advanced Neural Networks for Multilingual Customer Service

Author(s) Mahaboobsubani Shaik
Country India
Abstract The Advanced neural networks have, in recent times, upgraded multilingual customer service all over the world. This article introduces new models that are supposed to translate languages in real-time and do sentiment analysis while users communicate in their diverse mother tongues across different contexts of cultures. Transformer-based architectural systems, such as BERT and GPT, will boost that for better understanding and response capability over customer queries. The comparisons drawn with traditional approaches indicate substantial improvement in service quality, response time, and customer satisfaction. Performance metrics-precision, recall, and F1-score-point to the effectiveness of these models in addressing complex linguistic nuances. Further, the challenges of scalability, language diversity, and ethical considerations have been discussed, opening a wide avenue for future research in multilingual AI systems. Results have pointed out ways neural networks can set new standards of personalized, efficient, globally inclusive customer service
Keywords Customer support in multiple languages, neural networks, real-time translation, sentiment analysis, transformer models, customer satisfaction, ethics of AI, performance metrics, and NLP and global communication
Field Computer > Automation / Robotics
Published In Volume 5, Issue 10, October 2024
Published On 2024-10-03
Cite This Advanced Neural Networks for Multilingual Customer Service - Mahaboobsubani Shaik - IJLRP Volume 5, Issue 10, October 2024. DOI 10.5281/zenodo.14471719
DOI https://doi.org/10.5281/zenodo.14471719
Short DOI https://doi.org/g8vk24
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