Application Of Text Sentiment Analysis In The Agricultural Network Public Opinion System

With the rapid development of Internet, the communication between Internet users has become more and more frequent. Our network has evolved into a medium that covers a wide range, has a large number of participants and grows fast. In this condition, the medium trends showing to the platform diversification and community groups diversification. But during the development of the network, it has also led to a number of public event, such as in agriculture,excessive negative publicity lead to frequently public events, which result in greater economic losses and also make the management of the agricultural sector in the passive. If we can timely access some information about this kind of public events and analysis the information for text sentiment, once the public opinion tendency of emotion into the warning range, we can immediately report to the regulatory and make suggestion for their decision. In this way, we can effectively reduce the negative impact of public events.Based on the semantic of the text tendency analysis method, the study deeply analyzed the agricultural public events. On this basis, we can dig the popular author and hot point which is agriculture-related public events. In further analyses, the paper made the emotional tendencies of popular author and hot point with numerical measure.This study first introduced the status and reasons of agricultural-related public events and put forward the idea and feasibility of using text tendency analysis method for public event monitoring. Secondly, the paper made a simple overview of relevant knowledge about the text tendency analysis and introduced the text classification technology and text tendency analysis method. And then, this article made a detailed analysis of the key technology of text tendency. At the same time, sentiment dictionary design and maintenance, emotional words acquisition and utilization were also discussed, and then it put forward the corresponding emotion tendency algorithm. The paper designed a semantic text tendency analysis system to deal with the related agriculture-related public events.Finally, the paper selected some representative agriculture-related public events to make a test. The article crawl test from the Tianya forum, and made detailed analysis about the post reply with the method presented in this paper in order to get the popular author and hot point. Further analyses were made to get the authors and points emotion tendency, and proved that the method has a certain practical value. The result provided a basis for agriculture-related public events decision.