Evaluating Generative Neural Attention Weights-Based Chatbot on Customer Support Twitter Dataset

Sequence-to-sequence (seq2seq) models augmented with attention mechanisms are increasingly important in automated customer service. These models, adept at recognizing complex relationships between input and output sequences, are essential for optimizing chatbot responses. Central to these mechanisms...

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Bibliographic Details

Main Authors:	Sinarwati, Mohamad Suhaili, Naomie, Salim, Mohamad Nazim, Jambli
Format:	Article
Language:	en
Published:	World Academy of Science, Engineering and Technology 2024
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/48715/3/Evaluating%20Generative.pdf http://ir.unimas.my/id/eprint/48715/ https://publications.waset.org/10013687/evaluating-generative-neural-attention-weights-based-chatbot-on-customer-support-twitter-dataset
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