This study presents a Hybrid Deep Neural Network Model for Customer Satisfaction Analysis (HDNNM-CSA), with the aim of developing an efficient model which is capable of accurately classifying customer satisfaction levels in delivery apps based on textual responses provided by customer experience managers.
Nowadays, Natural Language Processing, or NLP, is a key component of many programs that analyze and comprehend human language. The sentiment analysis of mobile product reviews collected from the Kaggle repository—more especially, the 20,710-review Amazon Mobile evaluations dataset—is the main emphasis of this research....
Dhananchezhiyan R, M. Rameshkumar· International journal of com...· 0 citations
The paper unveils how the introduction of AI automation in CRM tools allows companies to understand customer behavior more precisely, anticipate their needs, and tailor experiences and indicates that AI is a great facilitator of customer profiling, it opens the door to real-time data processing and results in more prec...
Satyendra Kumar Vanapalli· International Journal of Art...· 0 citations
Background: The rapid digitalization of financial services has transformed customer interaction patterns, making user reviews a critical source for evaluating service quality. In digital gold pawn services, understanding customer sentiment is essential for sustainable digital transformation. While deep learning models...
The experimental results show that the proposed Explainable AI-Based Deep Learning System for prediction of customer churn in telecommunication industry has high prediction accuracy, reliability and interpretability, and thus it is a valuable decision-support tool for telecom organizations that aim to reduce customer a...
K. Teja, M. Arathi· International Journal for Re...· 0 citations
In the current digital business environment, massive online consumer reviews have become an important source of information for understanding user behavior. Accurately identifying the interactive intentions contained in reviews plays a key role in improving customer service quality, optimizing product development and f...
Peng-Ting Cai· International Conference on...· 0 citations
The system integrates DistilBERT and CNN-LSTM hybrid model where CNN used to extract the local features, and LSTM learns sequential and long-term dependencies in the text, and DistilBERT is used to capture contextual embeddings in the text.
M. Arathi, Asripathi Nikhitha· International Journal of Inn...· 0 citations
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