most citedEmoGRACE: Aspect-based emotion analysis for social media data

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2026★ 2 cited

EmoGRACE: Aspect-based emotion analysis for social media data

Christina Zorenböhmer, Sebastian Schmidt, Bernd Resch

While sentiment analysis has advanced from sentence to aspect-level, i.e., the identification of concrete terms related to a sentiment, the equivalent field of Aspect-based Emotion…

cs.CL2024

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

David Hanny, Sebastian Schmidt, Bernd Resch

Information from social media can provide essential information for emergency response during natural disasters in near real-time. However, it is difficult to identify the disaster…