Search Results for author: Nicolas Pröllochs

Found 8 papers, 0 papers with code

Integrating Floor Plans into Hedonic Models for Rent Price Appraisal

no code implementations16 Feb 2021 Kirill Solovev, Nicolas Pröllochs

In this study, we investigate to what extent an automated visual analysis of apartment floor plans on online real estate platforms can enhance hedonic rent price appraisal.

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

no code implementations10 Sep 2019 Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

In this paper, we propose that longer reviews should not be assumed to be uniformly more helpful; instead, we argue that the effect depends on the line of argumentation in the review text.

Decision Making

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

no code implementations31 Dec 2018 Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

Our analysis of a manually-labeled dataset yields a predictive accuracy of up to 69. 90%, exceeding the performance of alternative approaches by at least 3. 80 percentage points.

Decision Making Document-level +1

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

no code implementations25 Oct 2018 Bernhard Lutz, Nicolas Pröllochs, Dirk Neumann

This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews.

Reinforcement Learning in R

no code implementations29 Sep 2018 Nicolas Pröllochs, Stefan Feuerriegel

Reinforcement learning refers to a group of methods from artificial intelligence where an agent performs learning through trial and error.

Q-Learning

Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation

no code implementations8 May 2018 Stefan Feuerriegel, Nicolas Pröllochs

This paper provides a holistic study of how stock prices vary in their response to financial disclosures across different topics.

Statistical Inferences for Polarity Identification in Natural Language

no code implementations21 Jun 2017 Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann

Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives.

Decision Making

Understanding Negations in Information Processing: Learning from Replicating Human Behavior

no code implementations18 Apr 2017 Nicolas Pröllochs, Stefan Feuerriegel, Dirk Neumann

Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials.

Recommendation Systems

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