计算机工程与科学2018，Vol.40Issue(4)：745-751,7.DOI:10.3969/j.issn.1007-130X.2018.04.023
基于CTM模型的观点挖掘和可视化
Opinion mining and visualization based on CTM model
摘要
Abstract
How to automatically extract valuable opinion information from enormous texts has become an important technical challenge.Currently,most opinion mining methods are based on the assumption that topics are independent of each other.However,there are complicated inherent relationships between topics.In order to solve the above problems,based on standard CTM model,the paper proposes a hybrid correlated topic model that mixes topic with sentiment to perform opinion mining.Considering the topic correlation of documents,opinion characters and potential sentiment tendency are analyzed.Based on these results,sentiment polarity of the whole review and each topic are obtained.The simulation results verify the validity of the proposed model.R language is also used to visualize the experimental results.关键词
CTM模型/主题情感混合模型/观点挖掘/可视化Key words
CTM model/topic and sentiment hybrid model/opinion mining/visualization分类
信息技术与安全科学引用本文复制引用
马长林,谢罗迪,陈梦丽..基于CTM模型的观点挖掘和可视化[J].计算机工程与科学,2018,40(4):745-751,7.基金项目
国家自然科学基金(61003192) （61003192）
