Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text 论文
2010引用 218
Sentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesTopic Modeling
摘要
The automatic detection of emotions in texts and the generation of texts that express emotions is important for applications such as natural language interfaces, e-learning environments, and educational or entertainment games. These aspects are also important in opinion mining and sentiment analysis, and in the larger area of affective computing. This workshop provides a forum for discussion between leading names and researchers involved in processing emotions in the context of natural language understanding, natural language generation, or applications in which computational approaches to the processing of emotions are useful.