output
20202024
most citedAutomatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications

9 citations

9 papers

cs.IR2024

Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market

Himmet Kaplan, Ralf-Peter Mundani, Heiko Rölke +2

Crude oil, a critical component of the global economy, has its prices influenced by various factors such as economic trends, political events, and natural disasters. Traditional pr…

cs.HC2024★ 5 cited

From zero to figure hero. A checklist for designing scientific data visualizations

Helena Klara Jambor

Biological research spans scales and methodologies, generating complex data visualizations such as images, text, numbers, networks, and maps. With increasingly large and multimodal…

cs.IR2023★ 4 cited

CrudeBERT: Applying Economic Theory towards fine-tuning Transformer-based Sentiment Analysis Models to the Crude Oil Market

Himmet Kaplan, Ralf-Peter Mundani, Heiko Rölke +1

Predicting market movements based on the sentiment of news media has a long tradition in data analysis. With advances in natural language processing, transformer architectures have…

cs.IR2022★ 3 cited

Slot Filling for Extracting Reskilling and Upskilling Options from the Web

Albert Weichselbraun, Roger Waldvogel, Andreas Fraefel +2

Disturbances in the job market such as advances in science and technology, crisis and increased competition have triggered a surge in reskilling and upskilling programs. Informatio…

cs.HC2022★ 5 cited

Visualization Psychology for Eye Tracking Evaluation

Maurice Koch, Kuno Kurzhals, Michael Burch +1

Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this techno…

cs.IR2021

Inscriptis -- A Python-based HTML to text conversion library optimized for knowledge extraction from the Web

Albert Weichselbraun

Inscriptis provides a library, command line client and Web service for converting HTML to plain text. Its development has been triggered by the need to obtain accurate text represe…

cs.IR2021★ 2 cited

Harvest -- An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

Albert Weichselbraun, Adrian M. P. Brasoveanu, Roger Waldvogel +1

Automatic extraction of forum posts and metadata is a crucial but challenging task since forums do not expose their content in a standardized structure. Content extraction methods,…

cs.IR2021★ 9 cited

Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications

Albert Weichselbraun, Jakob Steixner, Adrian M. P. Braşoveanu +3

Sentic computing relies on well-defined affective models of different complexity - polarity to distinguish positive and negative sentiment, for example, or more nuanced models to c…

cs.IR2020★ 1 cited

Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion

Albert Weichselbraun, Philipp Kuntschik, Sandro Hörler

Performing company valuations within the domain of biotechnology, pharmacy and medical technology is a challenging task, especially when considering the unique set of risks biotech…