Collect feedback
Paste text, upload CSV / Excel files, or enter responses manually through the online form.
SentiQ collects hundreds of comments, reviews and survey responses, understands them with Natural Language Processing, and surfaces the issues, opinions and trends that actually matter.
Paste text, upload CSV / Excel files, or enter responses manually through the online form.
Sentiment scoring with negation handling, topic detection, recurring issue mining and trend tracking.
Results are combined into key takeaways and a plain-English executive summary.
An interactive dashboard with charts, filters, a word cloud and one-click report export.
Every response gets a score from β1 to +1, understanding negation ("not good"), intensifiers ("really bad") and emojis.
Groups feedback into themes like pricing, support, performance and UX automatically.
Mines repeated complaints and phrases so you fix the real problems first.
See how sentiment moves over time or across the order of responses.
Goes past positive vs negative to spot joy, trust, frustration and anger.
The NLP engine runs 100% in your browser. Your feedback never touches a server β perfect for sensitive student, customer or employee data.
One click to a CSV, a shareable report, or a print-ready dashboard.
Paste text, upload a file, type responses, or drop in a YouTube link. The analysis runs entirely in your browser.
Top-level public comments are fetched with the YouTube Data API, then scored locally. The sentiment model reads English best.
Automates hours of manual reading and tagging into seconds.
0saved per 1,000 responsesGoes beyond star ratings to explain why people feel the way they do.
0more actionable insightsPrioritise fixes that move satisfaction for customers, students and teams.
0avg. satisfaction liftShare clear reports and charts with stakeholders instead of anecdotes.
0evidence-backedAnalyze your first batch of feedback in under a minute.
Start analyzing β