Public Opinion Detection in an Online Lending Forum: Sentiment Analysis and Data Visualization
Public opinion entails emotions, wishes, attitudes and ideas among individuals and various social groups in a certain historical stage and social space. This research aims to employ natural language processing (NLP) sentiment analysis and data mining technologies to build a public opinion analysis system to serve enterprises' need of online public opinion detection. By using the data set from an online pear to pear (P2P) lending forum with 4148 reviews, we analyzed the data with data visualization techniques.
2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)