Abstract
Since entering the 21st century, computer technology has developed vigorously,
and people's lives have changed a lot. For example, the spread of information and
the release of speech are becoming faster and faster. Contemporary college students
can quickly understand the news and trends of today's society through the network
platform. In addition, they can also use the comment function of each platform to
express their own opinions or opinions. It can be seen that computer technology has
not only changed people's lives.
Although the network is very developed now, students can speak about some
phenomena through various online platforms (such as Sina Weibo), but as a college
student, you should make positive and energetic comments or microblogs, love your
school or class and not slander it, and the school will respect the freedom of
expression of college students, but also monitor some students who create rumors.
Before the rapid development of computer technology, it was very troublesome for
people to search for specific speeches or comments on the network. People needed
to check all specific users' microblogs and then read them one by one. However, this
search method was inefficient at first, because a person's energy was limited. People
had to check each user's microblog, and the microblog was refreshed quickly, New
comments or forwarding may occur at several minute intervals. Secondly, the
timeliness of this method is relatively poor, and the comment information in micro
blog or micro blog cannot be refreshed quickly and timely.
This system is developed using Python language and MySQL database. It
provides the school's network management department with multiple functions
such as speech analysis, speech management, and user management, so that users
can conduct speech analysis and management with their own school as the key word
without having to check everyone's microblog account. While protecting the privacy
and freedom of speech of college students, You can check the public opinion or
negative comments related to our school as efficiently as possible.
Keywords: Campus; Public Sentiment; Python； MYSQL
