Overview of Topic-based Chinese Message Polarity Classification in SIGHAN 2015

This paper presents the overview of Topic-based Chinese Message Polarity Classification in SIGHAN 2015 bake-off. Topic-based message polarity classification plays an important role in sentiment analysis, information extraction, event tracking, and other related research areas. This task is designed to evaluate the techniques for Chinese message polarity classification towards a given topic. The task organizers manually constructed 25 topics together with 24,374 corresponding messages which were annotated to construct the training and testing datasets. The evaluation results achieved by the participators provide good suggestion for the future research.