Design Of Public Opinion Sentiment Analysis System Based On Improved Method Of Sentimental Words Recognizing

As the age of big data coming, network has become one of the most important channels that transfer information, thus the influence of the text info on the internet is also noticeably increasing, and it provides the soil for the expression and the transmission of the social public opinion. More and more people start giving opinions about social affairs, hot and concerned topics, meanwhile these words from people also influence back on the people judgement towards the public opinion.Therefore gathering, acquiring thus analyzing the people’s comments is of great importance to academic research. By research we found that the previous sentiment analyzing methods based on word recognizing just take the word itself into consideration but neglected the semanteme and sentence component of the word, which may leads to the error of the analyzing result. So this paper suggested a optimized method using syntax analyzing to recognize the sentimental words in a text with a high accuracy. This paper studies using the particular combination mode. Overall its content of research and innovative includes:Reviewed the current state of the internet public opinion analyzing, text sentiment analyzing of domestic, as well as international.Researched the related techniques and used them for implement and designing,Detailed introduced different techniques of sentiment analyzing, and suggested a method using syntax analyzing based on words recognizing.Detailed introduced the sentiment analyzing is to analyze the test content of the web, weibo and blog, thus achieved the goal of sentiment data mining using text interaction under the circumstance of society. This research, based on the sentiment words recognizing that includes the syntax analyzing of text content, the expression of sentimental level and the calculation of the sentiment words, results in a system of sentiment analyzing.At last the paper introduced how the system is implemented and worked. The results showed that the system worked effective with a high potential value of promoting.