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Sentiment analysis—see your data and real sentiment
Turn open-ended answers into themes, polarity, and mood cues at scale. Analyze one field or every open end together, split by gender or age when those questions exist, and keep sensitive corpora on local or BYO models when classification demands it.
Built for bilingual teams across the GCC and MENA—with native Arabic RTL, regional fielding, and Dubai-headquartered support.
- 01Themes + polarityEvidence-backed positive, mixed, and negative reads
- 02Mood cuesHopeful, frustrated, calm—and more—per response
- 03Demographic splitsGender and age group when those questions exist
- 04Local + BYO LLMsPrivate analysis paths for sensitive programs
What you get
- Sentiment analysis on open-ended text, comment, and long-text answers
- Per-question focus or roll-up across every open end
- Polarity breakdowns with themes and evidence
- Mood-style readouts per response beyond simple positive/negative
- Gender and age splits when demographics exist in the design
- Trend context alongside theme extraction
- Works on the active Smart Data Layer
- Local AI analysis for confidential and government data
- Custom LLM integration (OpenAI, Anthropic, Gemini, Ollama, compatible APIs)
- Arabic and English verbatim support for bilingual programs
All features · 01
Open ends that leadership can actually use
Word clouds alone do not drive decisions. Sentink surfaces themes, polarity, and mood cues with evidence so CX and insights leads can quote real respondents—not only percentages.
- Focus one painful question or analyze all open ends together
- Mood cues sit next to polarity for richer readouts
- Filters keep the story aligned with the segment in the room
All features · 02
Split sentiment the way the brief is written
When gender or age questions exist, split sentiment to see who is frustrated and who is hopeful. Pair with Smart Data Layers so cleaned universes do not silently include speeders.
- Demographic splits without a separate coding vendor for every wave
- Theme evidence you can paste into AI reports and decks
- Consistent definitions across brands and markets
All features · 03
Keep sensitive verbatims under your control
Prefer local analysis for classified or regulated programs, or connect the LLM your security team already approved. Sentiment stays inside the Sentink results workspace either way.
- Local models for government and enterprise confidential data
- BYO OpenAI, Anthropic, Gemini, Ollama, or compatible APIs
- Continue into Ask Adam and full AI reports on the same layer
Who it is for
- CX and VOC teamsQuantify tone across thousands of comments without a coding army.
- Brand trackersTrack theme and mood shifts wave over wave.
- Government & regulated researchAnalyze verbatims on local or approved model paths.
Frequently asked questions
Can I analyze one open-ended question only?
Yes. Focus a single field or roll up all text, comment, and long-text answers in one pass.
What are mood cues?
Mood cues are response-level interpretations (for example frustrated, hopeful, or calm) that sit beside polarity so stakeholders see tone, not only positive/negative percentages.
Does sentiment work in Arabic?
Yes. Sentiment and related AI tools support Arabic and English programs, including bilingual studies.
Related features
See sentiment on your open ends
Try Cloud free, or book a demo focused on themes, mood cues, and demographic splits.