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No. SentientIQ only analyzes public data, content that users have voluntarily posted for public consumption, such as public social media posts, online reviews, public forums, and open web content. We do not access private profiles, private messages, password-protected areas, or personal device data.
No. We are not building or tracking individual profiles. Our system detects emotional patterns across groups and markets, not individual users. Identity is not stored, tracked, or used in any SentientIQ models.
We design SentientIQ with a strict Privacy by Design framework:
Our guiding principle is simple: If a user expects their content to be seen publicly, we may use it to model market sentiment. If they expect privacy, it’s off limits.
SentientIQ uses Natural Language Processing (NLP) models trained to recognize emotional indicators in text:
We also track volume, velocity, and co-occurrence patterns (e.g., frustration keywords rising alongside product names) to detect shifts in audience emotions over time.
No. SentientIQ doesn't "guess" emotions out of thin air. It interprets patterns based on millions of prior examples, applying proven sentiment and emotional scoring techniques. Our focus is on aggregated audience trends, not trying to invent feelings.
On clean, public textual data, SentientIQ’s models achieve 85–90% emotional classification accuracy across multiple categories (e.g., positive, negative, neutral, fear, excitement). We also constantly update and refine models based on new language trends (slang, emoji use, cultural shifts). While no emotional AI is 100% perfect, including human interpretation, SentientIQ prioritizes explainability, so every prediction can be traced to clear factors.
Yes.
SentientIQ only uses publicly available data, processes it ethically, and complies fully with major privacy regulations including:
We do not access personal or private data without explicit consent. In fact, companies increasingly use public sentiment analysis to inform marketing, customer service, and brand health — it’s a recognized best practice when handled responsibly.
Our models are trained on diverse, representative datasets to avoid skewed outputs. We also enforce human-in-the-loop oversight for critical insights, meaning people can review and validate model recommendations before acting on them. We are committed to transparency, accountability, and ethical AI standards.
We built SentientIQ on three non-negotiable principles:
SentientIQ isn’t about spying, manipulating, or replacing humans. It’s about empowering businesses to understand emotional shifts and act smarter, faster, and more humanely.
All SentientIQ insights are explainable and auditable. If any campaign decision is made based on our intelligence, you’ll have a clear trail showing why a recommendation was made. This keeps your brand protected, and ensures you retain full oversight of your strategy.
SentientIQ™ is designed to separate real human emotion from synthetic noise. Our autonomous agents don’t just read emotional signals, they evaluate the credibility of the source.
We filter social signals using advanced behavioral and linguistic analysis to identify authentic human activity. This includes assessing account legitimacy, engagement history, and natural language complexity that bots typically can’t replicate. Suspicious or low-quality sources are automatically down-weighted or excluded from decision-making.
In short, SentientIQ™ doesn't just listen, it discerns. So you act on real emotional momentum, not algorithmic noise.
If you’re still skeptical, good. SentientIQ was built for leaders who demand clear answers. We're always happy to walk you through real-world examples, explain how we protect user trust, and show you exactly how we maintain full compliance and ethical standards. Transparency isn't a buzzword here. It's how we earn your trust every day.
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