
Sentiment Analysis
AI sentiment analysis for reviews, support tickets, surveys, call recordings, and documents — quantify how customers feel, surface the themes and aspects behind it, and act before they churn.
Free forever · No credit card required · Paid plans from $23.99/month
Analyze sentiment from beyond spreadsheets — paste a call or chat transcript, upload a report, connect a recording, or pull your reviews. Everything runs through the same engine.
Upload document
PDF, Word (docx), or text up to 15MB.
Scoring quality
Customer voice lives in calls, documents, and review sites too. Import & Analyze handles pasted transcripts, uploaded files, recordings, synced call platforms, and Google reviews through the same scoring engine.
Drop a support chat or call transcript directly into Import & Analyze — no spreadsheet required for one-off conversations.
Analyze PDF, Word, or plain-text files up to 15MB — useful for survey exports, interview notes, and research reports.
Upload a recording and Intelligence Navigator transcribes and scores it — so call and meeting feedback enters the same sentiment view.
Sync Gong, Zoom, Fireflies, and other conversation platforms — or pull Google Business reviews into the same analysis engine.
81.3%
16.9%
1.8%
598
Positive
value : 81.3
Open-ended feedback hides in tickets, reviews, and surveys until someone reads every row. Map a text column, run scoring at scale, and see positive, neutral, and negative breakdowns with the trends behind them.
Map a text column from your dataset — reviews, tickets, surveys, or comments — and run positive, neutral, and negative scoring across every row.
Start from CSV or Excel, a live Google Sheet, OneDrive, or CRM data — the same connectors you use elsewhere in Intelligence Navigator.
Bring customer ID, date, rating, and source fields when you have them — so you filter trends by channel, time, or account.
Choose fast standard scoring or high-accuracy AI scoring when precision matters for board-ready customer voice reporting.
Keyword Cloud
Sample Feedback
“Amazing quality, exceeded expectations!”
Positive · 0.95
“Exactly what I needed, works perfectly.”
Positive · 0.91
“Average quality, not impressed.”
Negative · -0.40
A percentage alone does not tell product or support what to fix. Keyword clouds, aspect sentiment, emotions, risk flags, and sample quotes show the language and themes driving satisfaction or frustration.
A keyword cloud surfaces the terms customers repeat — praise, confusion, price objections — ranked by how often they appear.
See which product features, service moments, or policies drive positive and negative feeling — not just an overall average.
Emotion breakdowns plus rule-based risk flags for churn, refund, escalation, and compliance language — scanned on every record.
Read representative feedback with its score attached — so product and support teams act on real customer language, not aggregates alone.
Voice Summary & Operational Signals
Strong overall customer satisfaction with a 7.9 / 10 score and 81.3% positive sentiment across 598 feedback entries. Quality and product performance are the primary satisfaction drivers, though 21.6% of customers report some confusion — a potential gap in product communication.
Top emotions
Aspect-based sentiment
Top risk signals
Churn, refund, escalation and compliance flags are scanned on every record.
AI Insights
Voice summaries and AI insights translate thousands of comments into a clear read for leadership — with trend charts when you map dates, so you know whether sentiment is improving after you ship a fix.
Headline percentages and counts on every run — the quantified voice-of-customer read leadership expects.
When you map a date column, chart how feeling shifts after a launch, price change, or incident — and whether fixes worked.
A written voice summary plus AI priorities translate thousands of comments into actions your teams can defend in a meeting.
Add sentiment charts to your Intelligence Workspace dashboard or presentation — revisit the same run from your analysis history.
When everyone shares the same sentiment breakdown, themes, and risk signals, handoffs get faster and fewer at-risk accounts fall through the cracks between teams.


Aspect-based sentiment shows which features and moments drive negative feeling, so product invests in the fixes that move the overall score — not the loudest single ticket.
Full sentiment analysis toolkit
Connect a dataset or import a transcript, run standard or high-accuracy scoring, and read keywords, aspects, emotions, and AI priorities in one view. Free to start — no credit card required.
Free forever · No credit card required
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