Abstract: Highlights•Using two sociological theories to extract social contexts of microblogs.•Building a community-specific sentiment analysis model based on multi-task learning.•Computing and incorporating community similarity as regularization over the model.•Using social context regularization to share sentiment between connected microblogs.•Optimizing the model based on a fast iterative shrinkage-thresholding algorithm.
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