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.