Achieving Equilibrium between Accuracy and Efficiency in CustomerOriented Conversational AI: A Rasa-Focused Methodology Incorporating Intent Ranking and Disambiguation

As conversational interfaces emerge as a primary medium for customer assistance, attaining both high accuracy and low latency in intent classification presents a significant challenge.

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Published
2025-03-11
DOI
https://doi.org/10.47363/jaicc/2025(4)421
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00
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article

Achieving Equilibrium between Accuracy and Efficiency in CustomerOriented Conversational AI: A Rasa-Focused Methodology Incorporating Intent Ranking and Disambiguation

Sridhar Kota
Sentiment Analysis and Opinion Mining
article

Achieving Equilibrium between Accuracy and Efficiency in CustomerOriented Conversational AI: A Rasa-Focused Methodology Incorporating Intent Ranking and Disambiguation

Sridhar Kota
article en

Abstract

As conversational interfaces emerge as a primary medium for customer assistance, attaining both high accuracy and low latency in intent classification presents a significant challenge.

Vol. 4(2)
Cloud Computing Center (CN)
Openalex Percentile: Top 98%
Sentiment Analysis and Opinion Mining
DOIOpen Access PDFOpenAlex
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Achieving Equilibrium between Accuracy and Efficiency in CustomerOriented Conversational AI: A Rasa-Focused Methodology Incorporating Intent Ranking and Disambiguation — Sridhar Kota · (2025) | TGRS Research Map | TGRS