Netzer, Oded

Uniting the Tribes: Using Text for Marketing Insight

Berger, J., Humphreys, A., Ludwig, S., Moe, W. W., Netzer, O., & Schweidel, D. A. (2020) · Journal of Marketing

Computational and Text Analysis MethodsSentiment Analysis and Opinion Mining

Cited by 742

MTurk Character Misrepresentation: Assessment and Solutions

Sharpe Wessling, K., Huber, J., & Netzer, O. (2017) · Journal of Consumer Research

Survey Methodology and NonresponseMobile Crowdsensing and Crowdsourcing

Cited by 330

When Words Sweat: Identifying Signals for Loan Default in the Text of Loan Applications

Netzer, O., Lemaire, A., & Herzenstein, M. (2019) · Journal of Marketing Research

Financial Distress and Bankruptcy PredictionFinTech, Crowdfunding, Digital Finance

Cited by 238

In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions

Ascarza, E., Neslin, S. A., Netzer, O., Anderson, Z., Fader, P. S., Gupta, S., Hardie, B. G. S., Lemmens, A., Libai, B., Neal, D., et al. (2018) · Customer Needs and Solutions

Customer churn and segmentationCustomer Service Quality and Loyalty

Cited by 190

The Power of Brand Selfies

Hartmann, J., Heitmann, M., Schamp, C., & Netzer, O. (2021) · Journal of Marketing Research

Digital Marketing and Social MediaConsumer Behavior in Brand Consumption and Identification

Cited by 184

Using natural language processing to analyse text data in behavioural science

Feuerriegel, S., Maarouf, A., Bär, D., Geissler, D., Schweisthal, J., Pröllochs, N., Robertson, C. E., Rathje, S., Hartmann, J., Mohammad, S. M., et al. (2025) · Nature Reviews Psychology

Computational and Text Analysis MethodsSentiment Analysis and Opinion Mining

Cited by 140

Natural Language Processing in Marketing

Hartmann, J., & Netzer, O. (2023) · Artificial Intelligence in Marketing

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 38