1. The hot topic identification function of the public opinion monitoring system identifies popular topics within a given time period based on parameters such as news source authority, number of comments, and intensity of posting time.

2. The topic tracking function of the public opinion monitoring system tracks hot issues and analyzes their development trends based on information sources, reposting volume, reposting addresses, geographical distribution, information publishers, and other relevant data elements.

3. The sentiment tendency analysis function of the public opinion monitoring system conducts倾向性 analysis by evaluating information reposting volume, timeliness and intensity of comments, as well as content descriptions.

4. The trend analysis function of the public opinion monitoring system analyzes the distribution of monitored keywords across time and regions based on information timeliness, regional distribution, types of reposting websites, and reposting volume.

5. The automatic information summarization function of the public opinion monitoring system generates intelligent summaries automatically extracted by the system, accurately presents article themes, helps users quickly grasp core content, and improves information utilization efficiency.

6. The early warning and prediction function of the public opinion monitoring system analyzes information against corpus and alert databases to ensure the healthy development of online information.

7. The event analysis function of the public opinion monitoring system analyzes the trends of hot information based on tendency analysis and overall assessment to detect sudden outbreaks of public opinion.

8. The statistical report function of the public opinion monitoring system generates reports based on results processed by the analysis engine, allowing users to browse detailed information content and make optimal decisions.

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