Jennifer Cutler

  • 149 Citations
20152019

Research output per year

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Personal profile

Research Interests

Focuses on understanding perceptual dynamics in social networks and developing methods for extracting marketing insights from social media.

Education/Academic qualification

Cognitive and Linguistic Sciences, ScB, Brown University

Business Administration, PhD, Duke University

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Grants

Research Output

  • 149 Citations
  • 3 Article
  • 2 Conference contribution

Using weak supervision to scale the development of machine-learning models for social media-based marketing research

Cutler, J. & Culotta, A., Jan 1 2019, In : Applied Marketing Analytics. 5, 2, p. 159-169 11 p.

Research output: Contribution to journalArticle

  • Are words commensurate with actions? Quantifying commitment to a cause from online public messaging

    Wang, Z., Cutler, J. & Culotta, A., Dec 15 2017, Proceeding - 17th IEEE International Conference on Data Mining Workshops, ICDMW 2017. Gottumukkala, R., Karypis, G., Raghavan, V., Wu, X., Miele, L., Aluru, S., Ning, X. & Dong, G. (eds.). IEEE Computer Society, p. 1050-1057 8 p. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2017-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Mining brand perceptions from twitter social networks

    Culotta, A. & Cutler, J., May 1 2016, In : Marketing Science. 35, 3, p. 343-362 20 p.

    Research output: Contribution to journalArticle

  • 72 Scopus citations

    Predicting twitter user demographics using distant supervision from website traffic data

    Culotta, A., Ravi, N. K. & Cutler, J., Feb 2016, In : Journal of Artificial Intelligence Research. 55, p. 389-408 20 p.

    Research output: Contribution to journalArticle

  • Predicting the demographics of Twitter users from website traffic data

    Culotta, A., Ravi, N. K. & Cutler, J., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, Vol. 1. p. 72-78 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution