Reisenbichler, Martin, Reutterer, Thomas, Schweidel, David, Dan, Daniel. 2021. Supporting Content Marketing with Natural Language Generation. MSI Report No. 21-107, Working Paper Series of the Marketing Science Institute, Cambridge, MA.
BibTeX
Abstract
The natural language generation (NLG) that supports digital voice assistants can also be used to automate text production for search engine optimization (SEO). While not eliminating the need for human supervision, semi-automated SEO can be just as effective but much less time-consuming and costly than traditional approaches.
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Press 'enter' for creating the tagPublication's profile
| Status of publication | Published |
|---|---|
| Affiliation | WU |
| Type of publication | Working/discussion paper, preprint |
| Language | English |
| Title | Supporting Content Marketing with Natural Language Generation |
| Title of whole publication | MSI Report No. 21-107, Working Paper Series of the Marketing Science Institute, Cambridge, MA. |
| Year | 2021 |
| URL | https://www.msi.org/working-papers/supporting-content-marketing-with-natural-language-generation/ |
Associations
- People
- Reisenbichler, Martin (Details)
- Reutterer, Thomas (Details)
- Dan, Daniel (Details)
- External
- Schweidel, David (Emory University, United States/USA)
- Organization
- Institute for Service Marketing and Tourism IN (Details)
- Research Institute for Computational Methods FI (Details)
- Research Institute for Cryptoeconomics FI (Details)
- Research areas (ÖSTAT Classification 'Statistik Austria')
- 5301 Distributive trades (Details)
- 5307 Business and management economics (Details)
- 5315 Commercial science (Details)
- 5320 Marketing (Details)
- 5321 Market research (Details)