Frontiers: Supporting Content Marketing with Natural Language Generation

Martin Reisenbichler; Thomas Reutterer; David Schweidel; Daniel Dan

doi:10.1287/mksc.2022.1354

Frontiers: Supporting Content Marketing with Natural Language Generation

Martin Reisenbichler, Thomas Reutterer, David Schweidel, Daniel Dan

Research output: Contribution to journal › Article › Research › peer-review

Abstract

Advances in natural language generation (NLG) have facilitated technologies such as digital voice assistants and chatbots. In this research, we demonstrate how NLG can support content marketing by using it to draft content for the landing page of a website in search engine optimization (SEO).

Original language	English
Journal	Marketing Science
DOIs	https://doi.org/10.1287/mksc.2022.1354
Publication status	E-pub ahead of print - 25 Feb 2022

Keywords

SEO content, marketing natural language generation, transfer learning

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10.1287/mksc.2022.1354

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title = "Frontiers: Supporting Content Marketing with Natural Language Generation",

abstract = "Advances in natural language generation (NLG) have facilitated technologies such as digital voice assistants and chatbots. In this research, we demonstrate how NLG can support content marketing by using it to draft content for the landing page of a website in search engine optimization (SEO).",

keywords = "SEO content, marketing natural language generation, transfer learning",

author = "Martin Reisenbichler and Thomas Reutterer and David Schweidel and Daniel Dan",

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doi = "10.1287/mksc.2022.1354",

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AB - Advances in natural language generation (NLG) have facilitated technologies such as digital voice assistants and chatbots. In this research, we demonstrate how NLG can support content marketing by using it to draft content for the landing page of a website in search engine optimization (SEO).

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M3 - Article

SN - 0732-2399

JO - Marketing Science

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Frontiers: Supporting Content Marketing with Natural Language Generation

Abstract

Keywords

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