A quick emergency response model for microblog public opinion crisis based on text sentiment intensity

作者：Xin Mingjun^*; Wu Hanxiang; Niu Zhihua

来源：Journal of Software, 2012, 7(6): 1413-1420.

DOI：10.4304/jsw.7.6.1413-1420

• Case base
• Emergency plans
• Emergency response
• Emergency response plans
• Internet environment
• Knowledge base
• Micro-blog
• Mobile Internet
• Mobile Internet services
• Monitoring models
• Public opinion crisis
• Public opinions
• Quick response
• Research teams
• Semantic content
• Sentiment intensity
• Test data
• Text mining
• Web ontology language

On the basis of discussing the information spreading mechanism under Internet environment, we have studied on how to build a public opinion monitoring model according to the semantic content or text mining in recent years. A micro-blog public opinion corpus named MPO Corpus on the content of micro-blog information as a test data set has been constructed by our research team. In this paper, it proposes a quick emergency response model (QERM) for micro-blog public opinion crisis oriented to Mobile Internet services. Firstly, it describes the micro-blog cases and emergency response plan library using web ontology language (OWL), which makes the transitive logical reason capacity among micro-blog subjects, microblog cases and emergency plans. Secondly, it proposes an algorithm to calculate the sentiment intensity of micro-blogs from three levels on words, sentences and documents based on HowNet Knowledge-base respectively. Thirdly, we continue to study on how to update cases under the subjects and quick response processes for micro-blog case base. Finally, we design a test experiment which shows some merits of QERM in time, which basically meets the quick emergency response demand on the micro-blog public opinions crisis under Mobile Internet environment. Thus, it will provide more efficient support to the government and related monitoring departments involved with the public opinions crisis.

• 出版日期2012
• 单位上海大学