A comment-scoring and per-provider aggregation pipeline for QoE is proposed, but its outage-detection test injects the low scores by hand and its ISP labels are random, so the claimed detection capability is not demonstrated.
On user-centric modular qoe pre- diction for voip based on machine-learning algo- rithms,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.NI 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Bridging Subjective and Objective QoE: Operator-Level Aggregation Using LLM-Based Comment Analysis and Network MOS Comparison
A comment-scoring and per-provider aggregation pipeline for QoE is proposed, but its outage-detection test injects the low scores by hand and its ISP labels are random, so the claimed detection capability is not demonstrated.