In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem.
Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.
1. Introduction. 2. Related Work. 3. User-Guided Cross-Domain Sentiment Classification. 4. Similar Actor Recommendation. 5. Source-Free Domain Adaptation of the Off-the-Shelf Classifier. 6. Social Media for Diabetes Management. 7. Conclusion and Future Work.