Customer and user feedback
Reviews, NPS comments, survey sentiment, customer feedback, support tickets, interview notes, cancellation reasons, app store feedback, or sales call excerpts.
Sentiment research
Sentiment Analysis Tool
Use an AI sentiment analysis tool to analyze reviews, survey text, customer feedback, support notes, comments, and social signals for sentiment, themes, objections, evidence gaps, and narrative patterns.
Built for scenario planning, not certainty. Every output should be reviewed against real evidence before an operating decision.
Scenario tape / illustrative
Sentiment analysis for customer and public feedback
R1
ReviewsSentiment drivers grouped
R2
CommentsNarrative themes appear
R3
Support notesEvidence gap ranked
Primary signal
Sentiment mix
Theme risk
Repeated objection
Next question
Why this feeling?
Input
Reviews, comments, surveys, tickets
Engine
Sentiment, theme, and narrative review
Output
Sentiment drivers and research questions
What to bring
Bring the text people already wrote.
Sentiment analysis works best when the source includes real customer language, public comments, social posts, review excerpts, survey answers, support tickets, or sales notes your team needs to interpret.
Public and social signals
Social posts, article comments, forum threads, community feedback, public responses, creator posts, or media excerpts.
Decision context
The launch, product change, pricing decision, policy, campaign, incident, or research question that makes the sentiment worth analyzing.
Where it earns its keep
Move from sentiment scores to usable evidence.
A sentiment analysis tool should not stop at positive, negative, or neutral labels. It should reveal why people feel that way, which themes repeat, and what still needs validation.
Review analysis01
Find the driver behind the rating.
Use review sentiment analysis to group positive and negative feedback into product themes, value moments, friction points, support issues, and follow-up research questions.
Social listening02
Separate sentiment from narrative momentum.
Inspect public comments, posts, and reactions for emotional tone, repeated claims, disagreement patterns, and early escalation signals.
Research synthesis03
Turn open text into decisions.
Use survey sentiment analysis, interviews, and support notes to identify sentiment drivers, segment differences, objections, and the next question to ask.
Sentiment is useful only when the evidence stays visible.
MiroFish turns unstructured text and customer feedback into sentiment drivers, themes, actor groups, claims, objections, and open questions so teams can inspect the reasoning behind the summary.
Stage 1
Ground the scenario
Upload source material and define the decision, event, or message you want to test.
Stage 2
Build the actor graph
Map the people, groups, incentives, constraints, and memory that shape the reaction.
Stage 3
Run reaction rounds
Let the simulated actors respond over multiple rounds so the second-order path appears.
Stage 4
Question the report
Review the trajectory, risks, weak assumptions, and what evidence would change the conclusion.
What the report should answer
The report should explain what changed the sentiment.
- Which theme drives positive, negative, or mixed sentiment
- Which quote, claim, or objection deserves review
- Which segment or audience reacts differently
- Which narrative may need public opinion simulation
- Which research question should be validated next
Boundary conditions
Not a live social listening dashboard.
- Not live monitoring unless current sources are provided
- Not a replacement for surveys, interviews, analytics, or social listening platforms
- Not guaranteed public opinion prediction
- Not useful when the source text, audience, or decision context is missing
Why MiroFish
Sentiment analysis should show evidence, not just labels.
Generic AI can summarize comments as positive or negative. MiroFish keeps the source evidence, themes, objections, and next questions visible for review.
Sentiment view
Generic AI
Positive, negative, neutral summary
MiroFish
Sentiment drivers tied to source evidence
Theme analysis
Generic AI
Loose topic list
MiroFish
Repeated claims, objections, audience groups, and narrative patterns
Next action
Generic AI
General recommendations
MiroFish
Questions for research, support, product, or public opinion simulation
FAQ
Sentiment analysis tool, with visible source evidence.
Use it to analyze existing text signals before turning feedback into a product, marketing, support, or public response decision.
What is a sentiment analysis tool?+
A sentiment analysis tool reviews text such as reviews, comments, survey answers, support notes, customer feedback, and social posts to identify positive, negative, neutral, or mixed sentiment and the themes behind it.
How is it different from public opinion simulation AI?+
Sentiment analysis observes and organizes existing reactions. Public opinion simulation AI rehearses how a future incident, policy, announcement, or crisis may be interpreted across multiple stakeholder rounds.
What should I upload?+
Upload product reviews, customer comments, survey answers, support tickets, social posts, forum threads, sales notes, interview excerpts, customer feedback exports, or media comments.
Can it monitor sentiment in real time?+
No. MiroFish can analyze current sources you provide, but it is not a live social listening dashboard or streaming sentiment monitor.
Who should use it?+
Product teams, researchers, support leaders, marketers, communications teams, and founders can use it to inspect text feedback before deciding what to change or test next.
Related simulation paths
Follow the risk into the next decision.
Most decisions do not stay inside one category. These adjacent use cases help teams test the next market, customer, or public reaction path.
Market sentiment
Market Sentiment Analysis
Analyze investor mood, news sentiment, social market signals, bullish and bearish narratives, and evidence gaps.
Open Market Sentiment AnalysisPublic reaction
Public Opinion Simulation AI
Model how institutions, media, affected groups, and observers reshape public pressure.
Open Public Opinion Simulation AICustomer evidence
Customer Research Simulation AI
Turn interviews, reviews, support notes, and product ideas into segment reaction paths.
Open Customer Research Simulation AIEvidence before labels
Analyze sentiment without losing the source context.
Bring reviews, comments, survey answers, support notes, or social posts. MiroFish will turn them into a sentiment analysis report your team can inspect.
Start sentiment analysis