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An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications

Research article (Sensors, 2022) · cited 30× · AI/ML
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An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications

Summary

An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications is a scholarly article[1].

Key Facts

  • An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-ensemble-model-for-consumer-emotion-prediction-using-eeg-signals-for-neuromarketing-applications
MLA “An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-ensemble-model-for-consumer-emotion-prediction-using-eeg-signals-for-neuromarketing-applications.
BibTeX @misc{4ortxyz_an-ensemble-model-for-consumer-emotion-prediction-using-eeg-signals-for-neuromarketing-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications}}, year = {2026}, url = {https://4ort.xyz/entity/an-ensemble-model-for-consumer-emotion-prediction-using-eeg-signals-for-neuromarketing-applications}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications — https://4ort.xyz/entity/an-ensemble-model-for-consumer-emotion-prediction-using-eeg-signals-for-neuromarketing-applications (retrieved 2026-05-24)

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