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Martin Reisenbichler

Mag.Mag. Martin Reisenbichler Bakk.phil.
Telephone:
+43 1 31336 6053
Email:
Contact information and photo taken from and editable at WU Directory.

CV

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Researcher Identifier

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Awards and Honors

2020
Austrian WAW funding for developing an enterprise search system based on natural language processing and machine learning
WU Award for outstanding research achievements
2016
Austrian FFG funding for developing a SEO & SEA analytics software for banks and insurance companies
Yearly Austrian federal funding for research and software development
2015
M.A. with distinction in Communication Science
Merit scholarship (by the Austrian Ministry for Science, Research, and Economy): 14th position out of all M.A. students in Communication Science (top 1%) based on achieved grades
2009
First major part of M.A. with distinction in Philosophy
2008
Top 8% of cohort in the entrance test for Communication Science
2005
High school matriculation with distinction

Classifications

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Expertise

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Activities

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Publications

Journal article

2019 Reisenbichler, Martin, Reutterer, Thomas. 2019. Topic Modeling in Marketing: Recent Advances and Research Opportunities. Journal of Business Economics (JBE) (früher: Zeitschrift für Betriebswirtschaft ZfB). 89 (3), 327-356. open access (Details)

Paper presented at an academic conference or symposium

2021 Reisenbichler, Martin, Reutterer, Thomas, Schweidel, David, Dan, Daniel. 2021. Supporting Content Marketing with Natural Language Generation. EMAC 2021 Annual Conference, Madrid, Spain, 25.05.-28.05. (Details)
  Reisenbichler, Martin, Reutterer, Thomas, Schweidel, David, Dan, Daniel. 2021. Supporting Content Marketing with Natural Language Generation. 43rd ISMS Marketing Science Conference, New York, United States/USA, 03.06.-05.06. (Details)
2019 Fruchter, Gila, Reisenbichler, Martin, Reutterer, Thomas. 2019. Country Image Effects in Production Relocation Timing Decisions. INFORMS Marketing Science Conference 2019, Rom, Italien, 20.06.-22.06. (Details)

Working/discussion paper, preprint

2021 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. (Details)

Projects

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