Joint Prediction for Entity/Event-Level Sentiment Analysis using Probabilistic Soft Logic Models

In this work, we build an entity/event-level sentiment analysis system, which is able to recognize and infer both explicit and im-plicit sentiments toward entities and events in the text. We design Probabilistic Soft Logic models that integrate explicit senti-ments, inference rules, and +/-effect event information (events that positively or neg-atively affect entities). The experiments show that the method is able to greatly im-prove over baseline accuracies in recog-nizing entity/event-level sentiments.