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Customer voice sensor: A comprehensive opinion mining system for call center conversation

Research article (2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), 2016) · cited 14× · AI/ML
academia openalex:W2503545040
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Customer voice sensor: A comprehensive opinion mining system for call center conversation

Summary

Customer voice sensor: A comprehensive opinion mining system for call center conversation is a scholarly article[1].

Key Facts

  • Customer voice sensor: A comprehensive opinion mining system for call center conversation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Customer voice sensor: A comprehensive opinion mining system for call center conversation. Retrieved May 24, 2026, from https://4ort.xyz/entity/customer-voice-sensor-a-comprehensive-opinion-mining-system-for-call-center-conversation
MLA “Customer voice sensor: A comprehensive opinion mining system for call center conversation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/customer-voice-sensor-a-comprehensive-opinion-mining-system-for-call-center-conversation.
BibTeX @misc{4ortxyz_customer-voice-sensor-a-comprehensive-opinion-mining-system-for-call-center-conversation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Customer voice sensor: A comprehensive opinion mining system for call center conversation}}, year = {2026}, url = {https://4ort.xyz/entity/customer-voice-sensor-a-comprehensive-opinion-mining-system-for-call-center-conversation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Customer voice sensor: A comprehensive opinion mining system for call center conversation — https://4ort.xyz/entity/customer-voice-sensor-a-comprehensive-opinion-mining-system-for-call-center-conversation (retrieved 2026-05-24)

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