A Hierarchical Classifier Applied to Multi-way Sentiment Detection.
COLING '10: Proceedings of the 23rd International Conference on Computational Linguistics(2010)
摘要
This paper considers the problem of document-level multi-way sentiment detection, proposing a hierarchical classifier algorithm that accounts for the inter-class similarity of tagged sentiment-bearing texts. This type of classifier also provides a natural mechanism for reducing the feature space of the problem. Our results show that this approach improves on state-of-the-art predictive performance for movie reviews with three-star and four-star ratings, while simultaneously reducing training times and memory requirements.
更多查看译文
关键词
hierarchical classifier algorithm,document-level multi-way sentiment detection,feature space,four-star rating,inter-class similarity,memory requirement,movie review,natural mechanism,state-of-the-art predictive performance,training time
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络