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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
552018
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
332020
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
252019
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
162020
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
142018
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
132020
Affective information processing of fake news: Evidence from NeuroIS
B Lutz, MTP Adam, S Feuerriegel, N Pröllochs, D Neumann
Information Systems and Neuroscience: NeuroIS Retreat 2019, 121-128, 2020
132020
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
102022
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
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
72022
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
42020
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
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
22019
Information Overload in Processing Consumer Reviews: The Role of Argumentation Changes
F Popp, B Lutz, D Neumann
12022
Solving the mixed model sequencing problem with reinforcement learning and metaheuristics
J Brammer, B Lutz, D Neumann
Computers & Industrial Engineering 162, 107704, 2021
12021
Understanding the Role of Social Media in the Assessment of Retailer-Hosted Consumer Reviews
B Lutz, N Pröllochs, D Neumann
Australasian Conference on Information Systems, 2017
12017
Automated real estate valuation with machine learning models using property descriptions
K Baur, M Rosenfelder, B Lutz
Expert Systems with Applications 213, 119147, 2023
2023
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
2023
Information Overload and Argumentation Changes in Product Reviews: Evidence from NeuroIS
F Popp, B Lutz, D Neumann
Information Systems and Neuroscience: NeuroIS Retreat 2022, 9-21, 2022
2022
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
2022
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