北京理工大学珠海学院 2016 届本科生毕业设计基于机器学习的情绪分析研究——智能模型设计和实现基于机器学习的情绪分析研究——智能模型设计和实现摘要互联网技术的迅速发展使得社交平台逐渐成为热点事件中社会情感的枢纽。社会热点事件的舆论监管的其中一个重要环节就是能够准确分析民众的社会情绪。本文旨在探索可以基于文本大数据彻底分析民众对热点事件的社会情绪的模型和方法。先是从社交平台上借助文本大数据、对数据进行提前处理以及用 python 自然语言处理包等方法建立能够分析社会情绪的模型，其次找到最佳的机器学习算法，再次用机器学习的方法对模型进行训练，获得一个情感分类器。最后用热点事件“冠状病毒”的真实数据在情感分类器上进行社会情绪分析验证,证明了模型和方法的有效性。 关键词：网络文本大数据；机器学习；情绪分类器；社会情绪分析；北京理工大学珠海学院 2016 届本科生毕业设计Research on emotion analysis based on machine learning——Design and implementation of intelligent modelAbstractThe rapid development of Internet technology makes social platforms gradually become the hub of social emotion in hot events.One of the important aspects of public opinion supervision of social hot events is the ability to accurately analyze the public's social sentiment. This paper aims to explore the model and method that can thoroughly analyse the people’s social emotions of hot events based on text big data. Firstly, the writer built up the model of social emotions analysis by virtue of text big data from the social platforms, data preprocessing and the use of Python Natural Languge Toolkit and so on. Secondly, utilized the best machine learning algorithm and then trained the model by machine learning method to obtain an emotion classifier. Finally, the real data of the hot event "coronavirus" was used to analyze the social emotions on the emotion classifier, which proved the validity of the model and method.Keywords:Webtextbigdata、machinelearni...
