"I'd be so happy if all billionaires di*d... the world would be a better place❤️"

This sentence breaks all sentiment analysis tools.

"I'd be so happy" + "the world would be a better place❤️" = positive classification.

But their stance on billionaires? They're calling for the death of a whole class of people.

What you'd see is a word cloud showing "billionaire" in green, leading you to the complete OPPOSITE conclusion you needed to have.

This is how most companies actually do narrative analysis today... they look at word clouds and topic keywords with green/yellow/red colors to make conclusions. It is a structural flaw built into every company's pipeline that equates emotional tone with intent, and puts pressure on analysts to dig deeper for verbatims and manually read through a sea of content to make a subjective call.

If a dashboard can paint homicidal hate speech in green, what else is it hiding?

Think of all the failed product launches, box-office flops, failed collabs, and the billions of dollars wasted from decisions that were backed by market research and you'll see the real enemy is illusion disguised as intelligence: sentiment analysis. We aren't the only ones saying this either, this has been cited in academic research and various studies

If you need to know what people actually think, you need models that aim to understand intent, not just tone. This is where true narrative intelligence emerges, and where Siftree brings companies face-to-face with truth.