Sentiment matters more than quantity
Your company may appear 500 times in media this week. But the real question isn't how many times it appears — but how it appears.
AI sentiment analysis solves exactly this: it automatically classifies each mention as positive, negative, or neutral, giving you a clear picture of your reputational position.
How does it work?
Natural language processing (NLP) models analyze the context of each mention:
- Positive: "The company announced a historic investment in the region"
- Negative: "Mining company accused of contamination"
- Neutral: "The company participated in the industry fair"
In StakeManager, this happens automatically for every news item captured from TV, radio, press, and internet.
3 warning signs sentiment reveals
-
Sudden drop: If your positive sentiment drops 20+ points in one day, something is happening. Investigate before it escalates.
-
Sustained negative sentiment: It's not a bad day — it's a trend. It may indicate a structural problem in your communication.
-
Specific stakeholder negativity: A key actor consistently speaks negatively about your company. Time to activate a relationship strategy.
Real case: crisis prevention
An energy sector company in Peru detected through StakeManager that negative sentiment associated with a particular project rose from 15% to 45% in one week.
The cause: statements from a community leader on local radio that weren't being manually monitored.
Thanks to the early warning, the community relations team activated a dialogue plan before the conflict escalated to national media.
Conclusion
Sentiment analysis doesn't replace human judgment — it empowers it. It gives you the data to act quickly and with context.
Start your free trial and discover what the market says about your company.