Reading every conversation, live

Know how a customer feels before you read their message twice.

Sentiment Analysis scans every chat as it happens and labels it Positive, Neutral, or Negative with a confidence score attached. No more guessing which conversation needs you first.

Positive · Neutral · Negative — tagged in real time, on every message
Queue — Live 10 active chats
Can you confirm the delivery slot for tomorrow? Neutral
91% confidence · just now
Still waiting, this is really frustrating. Negative
97% confidence · just now
Perfect, exactly what I needed. Thank you! Positive
95% confidence · just now
What are the prices of the car? Neutral
96% confidence · just now

What is sentiment analysis?

Real-time customer sentiment analysis, built into every live chat.

Every time a customer types something, Synapse's live chat sentiment analysis reads the words and tone and assigns a mood label — Positive, Neutral, or Negative — along with how confident it is about that read.

Agents don't have to interpret tone themselves, and nothing gets missed because a message sounded fine on the surface. It's customer sentiment detection that runs quietly in the background of every conversation.

Performance overview dashboard showing 78% positive sentiment, 15% negative, and 150 resolved conversations, next to a support agent illustration
"What are the prices of the car?"
Neutral 96% confidence
"This is the third time I'm calling, still no response!"
Negative 98% confidence
Who this helps

Built for every role in the contact center.

The same customer sentiment data works differently depending on where you sit — on the frontline, running a team, or coaching one. It's chat monitoring and customer experience analytics in one feature.

Agent

Know which chat to open first

Handling 10 chats at once, it's easy to miss the one that's about to boil over. A Negative tag surfaces it in the queue instantly — before the customer gets more upset or gives up.

Neutral Negative
Supervisor

Check on 50 chats without reading 50 chats

One glance at the dashboard shows the split across every live conversation. When Negative suddenly climbs, that's the signal something's broken — a feature, a delay, a bad bot reply.

Positive Neutral Negative
Manager

Spot patterns, not just moments

See the sentiment trend behind each agent's chats over time. If one agent's conversations often end Negative, that's a clear, specific place to offer coaching.

Positive Negative
How real-time sentiment detection works

From message to action, in under a second.

01

Message arrives

Customer sends a message in any live chat, on any channel.

02

Tone is read

The words and phrasing are scanned the moment they land.

03

Mood is tagged

A label — Positive, Neutral, Negative — plus a confidence score.

04

Queue re-sorts

Negative chats surface first, for the agent and their supervisor.

Team sentiment — today 247 chats
Neutral
71%
Positive
27%
Negative
20%
⚠ Negative chats up from 1% to 20% in the last hour — worth a look.
Team health, at a glance

One number that tells a supervisor something's wrong.

Nobody reads fifty live chats at once. The customer sentiment dashboard rolls every conversation into one split — and when Negative jumps, that's the cue to look closer, not read closer.

A 1% baseline going to 20% is rarely a coincidence. It's usually a broken feature, a delay, or a bot response that missed the mark — and it's visible before customers have to say so themselves.

Ready when you are

Put sentiment on your queue this week.

See Sentiment Analysis running on your own chat volume — no setup required for the demo.