Design and Implementation of a Graduate Employment Public Opinion Analysis System Based on BERT
To assist relevant departments in better understanding the online public opinion regarding graduate employment,a system for analyzing online public sentiment during the job-seeking period of college graduates has been developed using big data and artificial intelligence technologies.The system is based on the BERT model and collects data from social media using web crawling techniques.After preprocessing the collected data,a sentiment analysis model is trained using deep learning.The model is then integrated into the online public opinion analysis system using front-end and back-end technologies,combining the training results of the model.Currently,the system has been completed and has passed the review of relevant departments.It is about to be put into use,with the expectation of playing a role in overall public opinion control and guidance objectives.
Sentiment analysisBERTInternet public opinionGraduate employment
万方数据
维普
