Public opinion refers to the socio-political attitudes generated and held by the general public toward social managers in a certain social space around the development and change of intermediary social events.

The Internet Public Opinion Monitoring System is able to detect new public opinion at the first time, and helps managers to monitor the mechanism of Internet public opinion more conveniently and design the system accordingly.

The system aggregates web pages of similar events and automatically categorizes subsequent documents into appropriate clusters to proactively detect the occurrence of new events to track past focus events. The system utilizes Chinese segmentation technology, natural language processing technology, and Chinese information processing technology to process information such as spam filtering, de-emphasis, similarity clustering, sentiment analysis, extraction of summaries, and automatic clustering, and works with professional analysts to generate detailed public opinion analysis reports.