01
Hours spent skimming reviews for patterns
MSYS:REP — MODULE 03 — SENTIMENTTOPIC-LEVEL TRENDS
Sentiment Analysis & Insights
AI reads every review for what customers actually mean — sentiment scores, topic clusters, and trends that surface operational issues before they show up in your rating.
01 — The problem this solves
What breaks without it.
02
Recurring complaints buried under praise
03
A star average that explains nothing
02 — Buyer intent + workflow
When to reach for this module.
Use Sentiment Analysis when the buyer problem is signal: a 4.2-star average tells you almost nothing about what to fix. Topic-level scoring shows which parts of the operation drive satisfaction and which are quietly dragging the rating down.
How the workflow runs
- 01Every synced review is scored for sentiment and tagged by topic automatically.
- 02Topic trends are tracked over time — a rising cluster of wait-time mentions is flagged before it becomes a ratings problem.
- 03AI Insights lets you ask questions of your reviews, auto-detects issues, and creates tickets to track resolution.
- 04Analytics & Reports package the findings into executive summaries and platform-by-platform breakdowns.
03 — Capabilities
Key capabilities.
Sentiment scoring on every review
Topic clusters — staff, value, wait times, and more
Spike alerts when a negative topic trends
AI executive summaries and exportable reports
04 — Proof context
What we claim, and how.
The module turns review text into an operational to-do list. The product's own illustrative dashboard shows the pattern: a wait-times topic trending negative gets flagged with the review evidence attached, so the fix is targeted instead of guessed. Growth Advisor extends this with a Growth Score per location and a prioritized action plan.
These figures are product specifications published on reputationsystems.ai — platform coverage, review processing volume, language support, and plan pricing. We do not publish aggregate customer outcomes (average rating lift, hours saved per week, response-rate percentages) here until a customer-verified case study file with timeframe, baseline, and methodology is public.
05 — Questions
Questions this page answers.
- What topics does sentiment analysis track?
- Reviews are clustered into the operational topics customers actually talk about — staff, food or product quality, value, cleanliness, wait times, and more — each scored and trended over time so you can see what drives the rating.
- How is this different from reading the reviews myself?
- Reading 200 reviews gives you 200 anecdotes. Sentiment analysis gives you the pattern across them: which topics are improving, which are declining, and where a slow negative trend is hiding under a healthy star average.
- What is Growth Advisor?
- Growth Advisor, on Professional and Enterprise plans, produces a Growth Score per location, identifies gaps against competitors, and turns sentiment findings into a prioritized action plan.