Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China;
Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China;
Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China;
Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China;
Natural Language Processing Lab, School of Computer Science and Technology, Soochow University, Suzhou, China;
Sentiment analysis; Review rating; LSTM;
机译:通过评级监督潜在主题模型,联合方面发现,情感分类,方面级别评级和重量逼近推荐系统的逼近
机译:联合建模评论内容和方面评级以进行评论评级预测
机译:在基于HDP的在线评论评分回归模型中统一主题,情感和偏好
机译:审查评级与联合分类和回归模型
机译:高斯过程回归的小裂纹扩展与检测联合建模框架
机译:预测结果的建模技术选择:人工神经网络分类和回归树的比较以及用于预测医疗康复结果的线性回归分析
机译:通过张量的关节分类和回归模型预测阿尔茨海默病的纵向结果
机译:构建和测试二元数据的Logistic回归模型:应用于国家火灾危险评级系统