基于HMM的个体微博情感分析预测方法研究  

Micro-blog Individual Emotional Analysis and Forecast Method Based on HMM Model

作　　者：郭福亮[1] 周钢[1] 

机构地区：[1]海军工程大学电子工程学院计算机工程系,武汉430033

出　　处：《舰船电子工程》2014年第2期99-102,146,共5页Ship Electronic Engineering

摘　　要：微博已经逐渐成为个体表达情感的重要途径,进行个体情感分析预测研究具有重要意义。在研究个体情感特点基础上,设计了基于HMM的个体微博情感分析模型,通过微博文本情感提取,PAD情感模型维度量化和HMM模型对个体情感发展进行分析步骤获取个体情感状态变化稳定特征,并进行情感预测以实现及时心理疏导,通过实例研究发现该方法在无外部重大事件刺激下具有很好预测效果。Microblogging has gradually become an important way to express individual emotion, the study on the analy- sis and forecasting of individual emotional has important significance. On the base of studying Emotional characteristics of in- dividuals, the HMM-based model of the individual micro-blog sentiment analysisbased is proposed. The model achieves in ac- cordance with the three-step： the microblogging text sentiment extraction, quantification through the PAD Dimensional mod- el, and forecasting the development of the individual emotion based on HMM model. The purpose of the model is to analyze the stable characteristics of the individual emotional state and make emotional predicted to achieve timely psychological coun- seling. Through case studies found that the method has a good prediction in the absence of external stimuli major event.

关 键 词：HMM 情感分析 PAD模型 微博 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]