Quotation 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.


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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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Publication'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 (Ă–STAT Classification 'Statistik Austria')
5301 Distributive trades (Details)
5307 Business and management economics (Details)
5315 Commercial science (Details)
5320 Marketing (Details)
5321 Market research (Details)
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