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Found 9 papers, 0 papers with code
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing
However, little is known about what linguistic cues make people fall for fake news and, hence, how to design effective countermeasures for social media.
An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data
While photovoltaic (PV) systems are installed at an unprecedented rate, reliable information on an installation level remains scarce.
The Longer the Better? The Interplay Between Review Length and Line of Argumentation in Online Consumer Reviews
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.
Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
For this, we present a novel strategy for learning fully interpretable negation rules via weak supervision: we apply reinforcement learning to find a policy that reconstructs negation rules from sentiment predictions at document level.
Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning
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.
Understanding the Role of Two-Sided Argumentation in Online Consumer Reviews: A Language-Based Perspective
This paper examines the effect of two-sided argumentation on the perceived helpfulness of online consumer reviews.
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic
Transportation and traffic are currently undergoing a rapid increase in terms of both scale and complexity.
Statistical Inferences for Polarity Identification in Natural Language
Information forms the basis for all human behavior, including the ubiquitous decision-making that people constantly perform in their every day lives.
Understanding Negations in Information Processing: Learning from Replicating Human Behavior
Information systems experience an ever-growing volume of unstructured data, particularly in the form of textual materials.
