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Global Embeddings, Local Signals: Zero-Shot Sentiment Analysis of Transport Complaints

Public transport agencies must triage thousands of multilingual complaints every day, yet the cost of training and serving fine-grained sentiment analysis models limits real-time deployment. The proposed “one encoder, any facet” framework therefore offers a reproducible, resource-efficient alternati...

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Principais autores: Aliya Nugumanova, Daniyar Rakhimzhanov, Aiganym Mansurova
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-08-01
Serier:Informatics
Fag:
sentiment analysis
frustration detection
complaint classification
instruction-tuned embeddings
fine-grained sentiment analysis
Online adgang:https://www.mdpi.com/2227-9709/12/3/82
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