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ORCIDMatthias Eickhoff
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2010 – 2019
- 2018
[c10]Matthias Palmér, Matthias Eickhoff, Jan Muntermann:
Detecting Herding Behavior using Topic Mining: the Case of Financial Analysts. ECIS 2018: 97- [c9]Matthias Eickhoff, Runhild Wieneke:
Understanding Topic Models in Context: A Mixed-Methods Approach to the Meaningful Analysis of Large Document Collections. HICSS 2018: 1-10 - 2017
- [c8]Matthias Eickhoff, Nicole Neuss:
Topic modelling Methodology: its Use in Information Systems and other Managerial disciplines. ECIS 2017: 86 - [c7]Matthias Eickhoff:
What do they mean? Using Media Richness as an Indicator for the Information Value of Stock Analyst Opinion regarding post-earnings Firm Performance. HICSS 2017: 1-10 - [c6]Matthias Eickhoff, Jan Muntermann, Timo Weinrich:
What do FinTechs actually do? A Taxonomy of FinTech Business Models. ICIS 2017 - 2016
- [j1]Matthias Eickhoff, Jan Muntermann:
Stock analysts vs. the crowd: Mutual prediction and the drivers of crowd wisdom. Inf. Manag. 53(7): 835-845 (2016) - [c5]Matthias Eickhoff, Jan Muntermann:
They Talk but What do they Listen to? Analyzing Financial Analysts' Information Processing using Latent Dirichlet Allocation. PACIS 2016: 312 - [c4]Matthias Eickhoff, Jan Muntermann:
How to Conquer Information Overload? Supporting Financial Decisions by identifying Relevant Conference Call Topics. PACIS 2016: 317 - 2015
- [c3]Matthias Eickhoff:
Enabling Reproducible Sentiment Analysis: A Hybrid Domain-Portable Framework for Sentiment Classification. DESRIST 2015: 215-229 - [c2]Matthias Eickhoff, Jan Muntermann:
Stock Analysts Vs. The Crowd: A Study on Mutual Prediction. PACIS 2015: 144 - 2013
- [c1]Ali Gholami, Gert Svensson, Erwin Laure, Matthias Eickhoff, Götz Brasche:
ScaBIA: Scalable Brain Image Analysis in the Cloud. CLOSER 2013: 329-336
Coauthor Index
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