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.
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.
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.
This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews.
This paper provides a holistic study of how stock prices vary in their response to financial disclosures across different topics.
Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives.
Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials.