摘要
我国的网名人数正在不断的增加，随着网民人数的增长，现在网络上的讨论的话题信息、对于日常新闻信息的分类内容等非常的多，人们越来越认为通过网络来表达个人情感，表达个人心情是一项非常常见的事情。现在人们利用网络来进行信息的传递交流非常的普遍，遇到任何问题也都会第一时间在网络上寻找答案。而现在随着人工智能的不断发展壮大现在利用自然语言来对人们输入网络的信息进行分类，让系统能够根据人们输入的信息内容进行相关情绪的片段，从而让计算机系统能够将文本计入文本库，形成数据源，从而实现更好的判断信息内容的过程。自然语言分类是现在一个非常热点的话题内容，通过自然语言的文本分类，可以更好的帮助人工智能的推动发展，让数据库形成大量的数据内容，从而让系统能够更好的通过语言分类来判断人们日常输入信息所要表达的内容，实现更好的信息处理效果。
此次利用Python语言技术，通过django框架来搭建一款基于机器学习的文本情感系统，通过文本情感分类来对让用户输入的文字语句进行情感判断，通过用户输入的信息可以对用户所要表达的情感是积极的还是消极的，通过此的系统开发能让程序在自然语言的技术支持下实现机器语言的学习。
关键词：自然语言；机器学习；文本情感系统；python技术；
Abstract
The number of net names in China is increasing. With the growth of the number of Internet users, there are a lot of topic information and classified content of daily news information on the Internet. People increasingly think that it is a very common thing to express personal feelings and feelings through the Internet. Now it is very common for people to use the network to transmit and exchange information. When they encounter any problem, they will find the answer on the network at the first time. Now, with the continuous development of artificial intelligence, natural language is used to classify the information people input into the network, so that the system can segment the relevant emotions according to the information content people input, so that the computer system can count the text into the text database and form a data source, so as to realize the process of better judging the information content. Natural language classification is now a very hot topic. Through the text classification of natural language, it can better help promote the development of artificial intelligence and make the database form a large amount of data content, so that the system can better judge the content to be expressed by people's daily input information through language classification, so as to achieve better information processing effect.
This time, python language technology is used to build a text emotion system based on machine learning through Django framework. The text emotion classification is used to judge the emotion of the text sentences input by the user. The information input by the user can determine whether the emotion to be expressed by the user is positive or negative, Through this system development, the program can realize the learning of machine language with the technical support of natural language.
Key words: natural language; Machine learning; Text emotion system; Python Technology
目 录
摘要 3
Abstract 4
第1章 绪论 5
1.1开发背景 5
1.2开发意义 5
1.3相关技术介绍 6
1.3.1 Python语言 6
1.3.2 django框架 7
1.3.3MySQL数据库 7
第2章 系统分析 8
2.1自然语言的介绍 8
2.2可行性分析 8
2.2.1技术可行性 8
2.2.2操作的可行性 9
2.2.3经济可行性 9
2.2.4法律可行性 9
2.3设计的基本思想 9
2.4设计的原则 10
第3章 系统设计 11
3.1系统结构设计 11
3.2功能模块设计 11
3.3数据库设计 11
第4章 系统实现 13
4.1基本任务 13
4.2系统主要功能得实现 13
4.2.1登录模块的实现 13
4.2.2 管理员登录首页的实现 13
4.2.3文本分类界面的实现 14
4.2.4文本管理界面的实现 15
4.2.5用户信息管理界面的实现 15
第5章 系统测试 17
5.1测试目的 17
5.2 测试的方法 17
5.3 测试结果 17
结论 18
致谢 19
参考文献 20