How to set up Lightspeed QA: Analysis of hot topics and hot content on the entire network in the past 10 days
In the era of information explosion, many users need to quickly obtain and organize hot content. This article will combine hot topics across the Internet in the past 10 days to provide you with a detailed analysis of how to efficiently set up the "Lightspeed QA" system, and attach structured data for reference.
1. Overview of recent hot topics (2023 data example)
| Ranking | Topic Category | heat index | Typical keywords |
|---|---|---|---|
| 1 | Frontier of science and technology | 9.8 | AI large model, quantum computing |
| 2 | international situation | 9.5 | Middle East peace talks, trade agreements |
| 3 | entertainment gossip | 8.7 | Celebrity marriage changes, movie box office |
| 4 | Health and wellness | 8.2 | Immunotherapy, sleep science |
2. Lightspeed QA system setup guide
1.Data source configuration: It is recommended to access at least 3 mainstream platform APIs (such as Weibo Hot Search, Baidu Index, Toutiao Hot List) and set the automatic update frequency to 15 minutes/time.
2.keyword filter: Establish a three-level tag system through the semantic analysis engine:
| level | Tag type | Example |
|---|---|---|
| Level 1 | Domain classification | Technology/Politics/Entertainment |
| Level 2 | event type | Press conference/policy/scandal |
| Level three | emotional tendencies | Positive/Neutral/Negative |
3.Response mechanism optimization:
- Set hotspot grading response: QA pairs must be generated within the golden 4 hours
- Establish knowledge graph association: automatically link historical similar events
3. Typical hotspot QA templates
| Question type | Generate rules | Example |
|---|---|---|
| factual | time+subject+event | When will a certain brand release a new mobile phone? |
| Opinion type | Controversial points + multiple positions | What are the different opinions among experts on a certain policy? |
| Predictive | Trend + Basis | How is a certain technology likely to develop in the next three years? |
4. Suggestions on system performance indicators
According to actual measured data, a high-quality QA system should meet the following benchmarks:
| indicator | passing line | Excellent value |
|---|---|---|
| Response speed | ≤3 seconds | ≤1 second |
| Accuracy | ≥85% | ≥95% |
| Coverage | TOP50 Hotspots | TOP100 Hotspots |
5. Precautions
1. Sensitive lexicon database needs to be updated regularly to avoid touching content red lines
2. It is recommended to set up a manual review channel, and QA in key areas requires expert verification.
3. Pay attention to the copyright restrictions of data sources, and commercial use requires authorization.
With the above settings, your Lightspeed QA system will be able to efficiently capture hot spots and produce high-quality content. It is recommended to generate operational reports every week and continuously optimize algorithm parameters.
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