Folgen
Bernhard Lutz
Bernhard Lutz
University of Freiburg, Chair for Information Systems Research
Bestätigte E-Mail-Adresse bei is.uni-freiburg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A sentiment analysis-based machine learning approach for financial market prediction via news disclosures
R Chiong, Z Fan, Z Hu, MTP Adam, B Lutz, D Neumann
Proceedings of the genetic and evolutionary computation conference companion …, 2018
802018
The behavior of blockchain ventures on Twitter as a determinant for funding success
S Albrecht, B Lutz, D Neumann
Electronic Markets 30 (2), 241-257, 2020
652020
How Sentiment Impacts the Success of Blockchain Startups–An Analysis of Social Media Data and Initial Coin Offerings
S Albrecht, B Lutz, D Neumann
Proceedings of the Hawaii International Conference on System Sciences, 2019
452019
Affective information processing of fake news: Evidence from NeuroIS
B Lutz, MTP Adam, S Feuerriegel, N Pröllochs, D Neumann
European Journal of Information Systems, 1-20, 2023
342023
Permutation flow shop scheduling with multiple lines and demand plans using reinforcement learning
J Brammer, B Lutz, D Neumann
European Journal of Operational Research 299 (1), 75-86, 2022
332022
Sentence-level sentiment analysis of financial news using distributed text representations and multi-instance learning
B Lutz, N Pröllochs, D Neumann
arXiv preprint arXiv:1901.00400, 2018
282018
Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation
B Lutz, N Pröllochs, D Neumann
Journal of Business Research 144, 888-901, 2022
272022
Negation scope detection for sentiment analysis: A reinforcement learning framework for replicating human interpretations
N Pröllochs, S Feuerriegel, B Lutz, D Neumann
Information Sciences 536, 205-221, 2020
252020
Predicting sentence-level polarity labels of financial news using abnormal stock returns
B Lutz, N Pröllochs, D Neumann
Expert Systems with Applications 148, 113223, 2020
252020
Automated real estate valuation with machine learning models using property descriptions
K Baur, M Rosenfelder, B Lutz
Expert Systems with Applications 213, 119147, 2023
212023
When machines trade on corporate disclosures: using text analytics for investment strategies
HC Schmitz, B Lutz, D Wolff, D Neumann
Decision Support Systems 165, 113892, 2023
112023
Identifying linguistic cues of fake news associated with cognitive and affective processing: Evidence from NeuroIS
B Lutz, MTP Adam, S Feuerriegel, N Pröllochs, D Neumann
Information Systems and Neuroscience: NeuroIS Retreat 2020, 16-23, 2020
92020
Understanding the role of two-sided argumentation in online consumer reviews: A language-based perspective
B Lutz, N Pröllochs, D Neumann
arXiv preprint arXiv:1810.10942, 2018
82018
Solving the mixed model sequencing problem with reinforcement learning and metaheuristics
J Brammer, B Lutz, D Neumann
Computers & Industrial Engineering 162, 107704, 2021
72021
Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles
J Brammer, B Lutz, D Neumann
Or Spectrum 44 (1), 29-56, 2022
62022
The longer the better? the interplay between review length and line of argumentation in online consumer reviews
B Lutz, N Pröllochs, D Neumann
arXiv preprint arXiv:1909.05192, 2019
62019
Distributed streaming reconstruction of information diffusion: poster
PM Fischer, I Taxidou, B Lutz, M Huber
Proceedings of the 10th ACM International Conference on Distributed and …, 2016
32016
Utilizing the omnipresent: Incorporating digital documents into predictive process monitoring using deep neural networks
S Levich, B Lutz, D Neumann
Decision Support Systems 175, 114043, 2023
22023
Cross validation based transfer learning for cross-sectional non-linear shrinkage: A data-driven approach in portfolio optimization
T Mörstedt, B Lutz, D Neumann
European Journal of Operational Research, 2024
12024
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
B Lutz, M Adam, S Feuerriegel, N Pröllochs, D Neumann
Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 1-22, 2024
12024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20