Supporting Content Marketing with Natural Language Generation

Martin Reisenbichler; Thomas Reutterer; David Schweidel; Daniel Dan

Supporting Content Marketing with Natural Language Generation

Martin Reisenbichler, Thomas Reutterer, David Schweidel, Daniel Dan

Publication: Working/Discussion Paper › Working Paper/Preprint

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.

Original language	English
Publication status	Published - 2021

Publication series

Series	MSI Reports
Volume	21-107

Austrian Classification of Fields of Science and Technology (ÖFOS)

502019 Marketing
502052 Business administration
502
502020 Market research

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University Library Catalogue

Cite this

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

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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year = "2021",

language = "English",

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TY - UNPB

T1 - Supporting Content Marketing with Natural Language Generation

AU - Reisenbichler, Martin

AU - Reutterer, Thomas

AU - Schweidel, David

AU - Dan, Daniel

PY - 2021

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N2 - 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.

AB - 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.

UR - https://www.msi.org/working-papers/supporting-content-marketing-with-natural-language-generation/

M3 - Working Paper/Preprint

T3 - MSI Reports

BT - Supporting Content Marketing with Natural Language Generation

ER -

Supporting Content Marketing with Natural Language Generation

Abstract

Publication series

Austrian Classification of Fields of Science and Technology (ÖFOS)

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