Rivac LabsSentiment & Emotion Analysis
Customer feedback, reviews, support tickets, and social mentions carry a constant signal about how people actually feel about your product — but almost nobody reads all of it, so the signal gets lost in the volume. This service builds a sentiment and emotion classification pipeline tuned to your specific customers' language, including sarcasm, industry jargon, and mixed sentiment within a single message, so you get an accurate read at scale instead of a generic positive/negative score that misses the nuance. We calibrate the model against your own labeled examples, not a stock off-the-shelf classifier trained on unrelated data, and can break results down by product, feature, region, or channel. It solves the problem of decisions getting made on gut feel or a handful of cherry-picked reviews when the real answer is sitting, unread, in thousands of messages you already have.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Pull a representative sample of your feedback, reviews, or support text and have your team hand-label the sentiment cases that matter most
- 2
Pilot a sentiment and emotion classifier against that labeled sample, tuned for your customers' actual language and edge cases like sarcasm or mixed sentiment
- 3
Review disagreements between the model and your human labels with your team to fix systematic misclassifications before scaling
- 4
Deploy the classifier against your live feedback streams with breakdowns by product, feature, or channel and ongoing accuracy monitoring
What You Get
Deliverables from this engagement
- Production sentiment and emotion classification pipeline
- Accuracy report benchmarked against human-labeled examples
- Segmented reporting by product, feature, region, or channel
- Ongoing monitoring for classifier drift as language and products change
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Sentiment & Emotion Analysis