Table of contents
Online opinion analysis is often reduced to counting negative mentions, so the report becomes a list of numbers and the reader still does not know what to do. The output should be judgement: where this is heading, who is amplifying it, how much time remains.
1. Collection: Define Scope, Then Keywords
Scope means platform types, time window, geography and language. For brand monitoring, take the last seven days plus a year-on-year comparison. For an incident, take the start date to now.
Keyword lists need three layers: brand terms, product terms, category terms. Category terms surface discussions that do not mention you yet but may affect you. That layer is often skipped and is frequently where warnings come from.
2. Cleaning: Remove Half the Noise
Raw data usually contains three noise types: same-name entities, promotional posts, and duplicated reposts. Tag by account type and content pattern, hand-check the first two hundred items to calibrate, then filter in bulk.
What survives is often thirty to fifty percent of the raw volume, and far more usable. State the cleaning rules in the report so readers know where the numbers come from.
3. Judgement: Four Dimensions Beat One Sentiment Score
| Dimension | What to look at | Output |
|---|---|---|
| Volume trend | Daily increments and inflection points | Stage of diffusion |
| Issue structure | Which points dominate discussion | The questions to answer |
| Spread path | Who amplifies, where it started | Whom to address, and when |
| Sentiment mix | Doubt, anger and undecided, in what proportion | Tone of response |
A sentiment score tells you it is bad. Issue structure tells you what is bad. Also separate the general environment from a specific online discussion, because the response differs.
4. Writing: Conclusions First
Structure: three conclusions at the top, evidence next, recommendations last. Conclusions should be actionable, for example "we are in the diffusion stage, the core challenge is after-sales response, recommend publishing a handling timeline within 24 hours" - not "the overall situation is stable".
Evidence needs charts and representative quotes with source and timestamp. Recommendations split into short term (this week) and medium term (mechanism gaps).
5. Three Mistakes
Treating volume as severity: a small volume about safety can be riskier than a large volume about service. Ignoring comment sections, where the real sentiment sits. And reporting without following up, so nobody checks whether last period's recommendations were executed.
6. FAQ
Do we need a paid tool?
Run the process manually with free tools first; buy a platform when volume demands it. Tools solve collection, not judgement.
How often should reports go out?
Weekly in normal times, daily during an incident. Higher frequency turns reports into logs.
Same report for every reader?
No. Decision makers need conclusions and options; execution teams need a checklist and timeline.
See also
- Public opinion monitoring: thresholds and alerts
- Three-sync response sequencing
- Response plan templates
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