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Nguyen, Naohara and Yoshida (2020a, November 02). Driving consumers' brand perception and engagement. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/driving-consumers-brand-perception-and-engagement
Suárez and Silva (2020a, October 19). Insights 24/7. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/insights-24-7
Marshall, Verhulst and Owens (2020a, September 15). Using narrative analytics to win customer trust. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/using-narrative-analytics-to-win-customer-trust-11583
Frattini, Bellido and Casino (2019a, November 10). Machine learning and privacy. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/machine-learning-and-privacy
Slavenburg, Suttrup and Bond (2019a, November 10). Can machines be emotional?. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/can-machines-be-emotional-
Akpinar, Ceran, Sermen and Yontar (2019a, November 10). Trends change, motivations do not. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/trends-change-motivations-do-not
Osborne, de Caux and Ney (2019a, November 10). A practical fusion of qualitative and social data. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/a-practical-fusion-of-qualitative-and-social-data
Jain, D. (2019a, November 10). Future-proof data quality using AI. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/future-proof-data-quality-using-ai
Poynter, R. (2019a, November 10). Deconstructing what machine learning does when processing text. ANA - ESOMAR. Retrieved June 18, 2024, from
https://ana.esomar.org/documents/deconstructing-what-machine-learning-does-when-processing-text