How to use Tailor: Analysis of hot topics and hot content on the Internet in the past 10 days
In the era of information explosion, it is crucial to master efficient information integration tools. As an intelligent content aggregation tool, Tailor can help users quickly capture hot spots across the entire network. This article will combine the hot topics in the past 10 days to analyze the use of Tailor in detail and provide structured data reference.
1. Analysis of Tailor’s core functions
Tailor uses AI algorithms to capture and analyze data from the entire network in real time, and mainly provides the following functions:
| Function module | Function description | Application scenarios |
|---|---|---|
| Hotspot tracking | Real-time monitoring of hot search lists on each platform | Public opinion monitoring/content creation |
| topic clustering | Automatically associate content with similar topics | Trend analysis/competitive product research |
| sentiment analysis | Identify the emotional tendencies of public opinion | Brand management/crisis public relations |
2. Summary of hotspot data across the entire network in the past 10 days
According to Tailor system monitoring, the following are the most representative hot events from December 1 to 10, 2023:
| Ranking | hot topics | heat index | Main communication platform |
|---|---|---|---|
| 1 | OpenAI board of directors change event | 9.8 | Twitter/LinkedIn |
| 2 | COP28 climate conference controversy | 9.2 | BBC/Reuters |
| 3 | TikTok e-commerce expands globally | 8.7 | Financial Times |
| 4 | Apple Vision Pro mass production delayed | 8.5 | Bloomberg |
3. Tailor Practical Guide
1.Hotspot subscription settings: After logging into the Tailor backend, you can add keyword combinations in the "Monitoring Center" module. For example, setting "AI+Board of Directors+Personnel Changes" can accurately capture OpenAI-related dynamics.
2.Data visualization interpretation: The system will automatically generate a propagation trend graph. The following is a typical hotspot life cycle model:
| stage | duration | Features |
|---|---|---|
| outbreak period | 6-12 hours | The amount of information increased sharply by 300%+ |
| diffusion period | 24-48 hours | Derivative topics appear |
| recession period | 3-5 days | Average daily discussion volume dropped by 60% |
3.multidimensional analysis: Click any hotspot to view:
- Regional distribution heat map
- Core communication node map
-Associated KOL influence ranking
4. Advanced skills for professional users
1.Alert function configuration: Set a "breaking news" trigger. When it is detected that the discussion volume of a certain topic increases by 500% within 1 hour, a text message reminder will be automatically pushed.
2.Cross-platform comparison: Use the "Platform Compare" function to discover:
- Twitter is more likely to explode technology topics
- People's livelihood topics spread faster on Weibo
3.Data export format: Supports three formats: CSV/JSON/PDF to meet different analysis needs.
5. Solutions to common problems
| Question type | Solution |
|---|---|
| information overload | Use the "intelligent deduplication" function |
| timeliness delay | Check API interface status |
| Data bias | Adjust sample collection weight |
Through the above methods, users can make full use of Tailor to capture the most valuable network hotspots. It is recommended to check the "Hot Spot Daily" function at a fixed time every day. The system will automatically generate a briefing containing key data to help you effectively grasp the pulse of information.
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