Predict Email Success Based on Text Content
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47765-2_6
Reference7 articles.
1. Balakrishnan, R., Parekh, R.: Learning to predict subject-line opens for large-scale email marketing. In: 2014 IEEE International Conference on Big Data (Big Data), pp. 579–584 (2014). https://doi.org/10.1109/BigData.2014.7004277
2. Holovach, H.: 105 email marketing statistics you should know in 2023. https://snov.io/blog/email-marketing-statistics/
3. Junnarkar, A., Adhikari, S., Fagania, J., Chimurkar, P., Karia, D.: E-mail spam classification via machine learning and natural language processing. In: 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), pp. 693–699 (2021). https://doi.org/10.1109/ICICV50876.2021.9388530
4. Miller, R., Charles, E.: A psychological based analysis of marketing email subject lines. In: 2016 Sixteenth International Conference on Advances in ICT for Emerging Regions (ICTer), pp. 58–65 (Sep 2016). https://doi.org/10.1109/ICTER.2016.7829899
5. Paulo, M., Miguéis, V.L., Pereira, I.: Leveraging email marketing: Using the subject line to anticipate the open rate. Expert Syst. Appl. 207, 117974 (2022). https://doi.org/10.1016/j.eswa.2022.117974, https://www.sciencedirect.com/science/article/pii/S0957417422012040
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