Cognitive computing for customer profiling: meta classification for gender prediction

Author:

Hirt RobinORCID,Kühl NiklasORCID,Satzger Gerhard

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Marketing,Computer Science Applications,Economics and Econometrics,Business and International Management

Reference66 articles.

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3. Argamon, S., Koppel, M., Pennebaker, J., & Schler, J. (2009). Automatically profiling the author of an anonymous text. Communications of the ACM, 52(2), 119–123.

4. Arnold, K. A., & Bianchi, C. (2001). Relationship marketing, gender, and culture: implications for consumer behaviour. In C. G. Mary & M. L. Joan (Eds), Advances in consumer research (vol. 28, pp. 100–105). Valdosta: Association for Consumer Research.

5. Arroju, M., Hassan, A., & Farnadi, G. (2015). Age, gender and personality recognition using tweets in a multilingual setting. In 6th Conference and Labs of the Evaluation Forum (CLEF 2015): Experimental IR meets multilinguality, multimodality, and interaction, Toulouse, France, pp. 23–31.

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