Sebastian Schmidt

Orcid: 0000-0003-1912-9771

Affiliations:
  • Universität Salzburg, Department of Geoinformatics, Austria


According to our database1, Sebastian Schmidt authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
EmoGRACE: aspect-based emotion analysis for social media data.
Soc. Netw. Anal. Min., December, 2026

Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires.
J. Comput. Soc. Sci., February, 2026

Mapping technology diffusion with AI: A web-based approach for tracking additive manufacturing adoption.
Int. J. Inf. Manag. Data Insights, 2026

2025
More than just Tweets: the potential of alternative geo-social media data for disaster management.
Soc. Netw. Anal. Min., December, 2025

EmoGRACE: Aspect-based emotion analysis for social media data.
CoRR, March, 2025

An Aspect-Based Emotion Analysis Approach on Wildfire-Related Geo-Social Media Data - A Case Study of the 2020 California Wildfires.
ISPRS Int. J. Geo Inf., 2025

Uncovering Regional Structures and Collaboration Hubs in Baden-Württemberg through Clustering a Company Hyperlink Network.
Proceedings of the 28th AGILE Conference on Geographic Information Science, 2025

2024
Drowning in the Information Flood: Machine-Learning-Based Relevance Classification of Flood-Related Tweets for Disaster Management.
Inf., March, 2024

Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis.
Int. J. Inf. Manag. Data Insights, 2024

Contextual Enrichment of Crowds from Mobile Phone Data through Multimodal Geo-Social Media Analysis.
ISPRS Int. J. Geo Inf., 2024

Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning.
CoRR, 2024

2023
Polarity-Based Sentiment Analysis of Georeferenced Tweets Related to the 2022 Twitter Acquisition.
Inf., February, 2023


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