Bernhard Lutz

According to our database, Bernhard Lutz authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Affective information processing of fake news: evidence from NeuroIS.

Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann

Eur. J. Inf. Syst., September, 2024

Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing.

Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann

Proc. ACM Hum. Comput. Interact., 2024

Cross validation based transfer learning for cross-sectional non-linear shrinkage: A data-driven approach in portfolio optimization.

Torsten Mörstedt, Bernhard Lutz, Dirk Neumann

Eur. J. Oper. Res., 2024

2023

Utilizing the omnipresent: Incorporating digital documents into predictive process monitoring using deep neural networks.

Sergej Levich, Bernhard Lutz, Dirk Neumann

Decis. Support Syst., December, 2023

Automated real estate valuation with machine learning models using property descriptions.

Katharina Baur, Markus Rosenfelder, Bernhard Lutz

Expert Syst. Appl., 2023

When machines trade on corporate disclosures: Using text analytics for investment strategies.

Hans-Christian Schmitz, Bernhard Lutz, Dominik Wolff, Dirk Neumann

Decis. Support Syst., 2023

2022

Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles.

Janis Brammer, Bernhard Lutz, Dirk Neumann

OR Spectr., 2022

Permutation flow shop scheduling with multiple lines and demand plans using reinforcement learning.

Janis Brammer, Bernhard Lutz, Dirk Neumann

Eur. J. Oper. Res., 2022

Information Overload in Processing Consumer Reviews: The Role of Argumentation Changes.

Florian Popp, Bernhard Lutz, Dirk Neumann

Proceedings of the WI for Grand Challenges, 2022

2021

Solving the mixed model sequencing problem with reinforcement learning and metaheuristics.

Janis Brammer, Bernhard Lutz, Dirk Neumann

Comput. Ind. Eng., 2021

2020

Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations.

Nicolas Pröllochs, Stefan Feuerriegel, Bernhard Lutz, Dirk Neumann

Inf. Sci., 2020

Predicting sentence-level polarity labels of financial news using abnormal stock returns.

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Expert Syst. Appl., 2020

The behavior of blockchain ventures on Twitter as a determinant for funding success.

Simon Albrecht, Bernhard Lutz, Dirk Neumann

Electron. Mark., 2020

2019

The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews.

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Proceedings of the 40th International Conference on Information Systems, 2019

Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning.

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

How Sentiment Impacts the Success of Blockchain Startups - An Analysis of Social Media Data and Initial Coin Offerings.

Simon Albrecht, Bernhard Lutz, Dirk Neumann

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018

Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective.

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Proceedings of the International Conference on Information Systems, 2018

A sentiment analysis-based machine learning approach for financial market prediction via news disclosures.

Raymond Chiong, Zongwen Fan, Zhongyi Hu, Marc T. P. Adam, Bernhard Lutz, Dirk Neumann

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews.

Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Proceedings of the Australasian Conference on Information Systems, 2017

2016

Distributed streaming reconstruction of information diffusion: poster.

Peter M. Fischer, Io Taxidou, Bernhard Lutz, Michael Huber

Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, 2016