Python Java Joint Implementation of Internet based Public Opinion Information Collection

Abstract

Abstract Nowadays, with the rapid development of the Internet era, the network, as a new media form, has spread rapidly in daily news reports and public opinions, and has also penetrated into today's social life. Compared with real life, people's opinions on the Internet are more active. Major or popular events are often discussed quickly by network users, forming public opinion. Many people want to express their ideas and opinions through the Internet, and some of them will forward and follow up relevant information, but also cause huge public opinion pressure on relevant departments and the speech itself, even to unpredictable results. Therefore, this paper uses Python Java technology to establish a network public opinion information collection system. This system is mainly based on the current popular UML modeling tools, and uses this technology as much as possible in all subsequent descriptions by analyzing some cases and scenarios. The test results show that MySQL's read performance is about 30 times higher than that of Lucene based files when persistence is required and the read performance is guaranteed, which further demonstrates the efficiency of the system. This article has made remarkable achievements in the collection of public opinion and relevant information by constantly optimizing the Python Java technology on the Internet.