Research map / Detection and segmentation / Open-set and few-shot detection
From Tweets to Wellness: Wellness Event Detection from Twitter Streams
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add task-relation graph Laplacian regularization and group sparsity (gMTL) over independent Lasso | gMTL · Twitter wellness events | F-1 score: 79.82 -> 84.86 | Helped |
| multi-task learning (gMTL) versus per-event SVM | gMTL · Twitter wellness events | F-1 score: 81.31 -> 84.86 | Helped |
| add gazetteer features to n-grams (ablation) | gMTL · Twitter wellness events | F-1 score: 81.06 -> 82.31 | Helped |
| add named entity features (ablation) | gMTL · Twitter wellness events | F-1 score: 82.31 -> 84.04 | Helped |
| add modality features (full feature set) (ablation) | gMTL · Twitter wellness events | F-1 score: 84.04 -> 84.86 | Helped |
| vary number of selected features and lambda (ablation) | gMTL · Twitter wellness events | F-1 score | Mixed |
Closest papers by meaning
- TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning (AAAI 2017 · similarity 0.90)
- Acquiring Knowledge of Affective Events from Blogs Using Label Propagation (AAAI 2016 · similarity 0.83)
- Characterizing Information Seeking Events in Health-Related Social Discourse (AAAI 2024 · similarity 0.82)
- Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams (ICML 2016 · similarity 0.82)
- Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space (AAAI 2025 · similarity 0.81)
- Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection (AAAI 2024 · similarity 0.80)
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