基于机器学习的情绪分析研究——智能模型设计和实现

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 graduallybecome the hub of social emotion in hot events.One of the important aspects of publicopinion supervision of social hot events is the ability to accurately analyze the public's socialsentiment.This paper aims to explore the model and method that can thoroughly analyse thepeople's social emotions of hot events based on text big data.Firstly,the writer built up themodel of social emotions analysis by virtue of text big data from the social platforms,datapreprocessing and the use of Python Natural Languge Toolkit and so on.Secondly,utilizedthe best machine learning algorithm and then trained the model by machine learning methodto obtain an emotion classifier.Finally,the real data of the hot event "coronavirus"was usedto analyze the social emotions on the emotion classifier,which proved the validity of themodel and method.Keywords:Webtextbigdata machinelearning.sentimentclassifier,socialsentimentanalysis;