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Sentiment analysis you can act on

What would you do if your sentiment was right?

Tellagence sentiment analysis is right 96% of the time, and shows you why sentiment is what it is.

Book a demo 20 minutes, on your own brand. No prep needed.

New flavor launch

Illustrative example, not real data

58%

positive overall

Taste

86% positive

Price

71% negative

In stores

64% negative

Positive Neutral Negative

Used by teams at

GoogleSparkloft MediaEdelmanYouTubeScout LabGreater ThanGrady BrittonAlt League

A real comment. Positive or negative?

"She's coming for blood."

A figure in a long dark coat and hat standing in a rain-soaked alley at night

Revenge?

A basketball player driving to the hoop past a defender in a packed arena

Sports?

A businesswoman leaning on a glass boardroom table with a city skyline behind her

Business?

A singer in a red dress performing at a microphone on a misty, red-lit stage

Where it was said

A comment on an Olivia Rodrigo music video, from her album about vampires and blood.

Words alone

Negative

With context

Positive

A fan, excited for her new music.

Book a demo 20 minutes, on your own brand.

Imagine if you could trust your sentiment. What decision would you make?

Why you don't trust it today

Most sentiment reads the words and misses what was meant.

A man in a denim jacket on a sunny street laughing at his phone

Sarcasm and slang get misread

"She killed it. I'm dead." gets scored as negative.

Blue and orange liquids poured together into one glass, mixing into a dull grey

"Neutral" hides most of it

The largest bucket tells you the least.

A person in a leather jacket, cargo trousers and trainers standing on a city street

"Sick" is five stars. Or one.

Praise for an outfit. A complaint for a restaurant.

The reason behind the number

Know why sentiment is what it is, in every part of the conversation.

The taste

86% positive

Why: people are telling friends to try it.

The price

71% negative

Why: smaller pack, same price.

Finding it

64% negative

Why: they want it and can't find it.

Illustrative example, not real data.

How it works

  1. 01 · Connect

    Your data, your listening platform, or ours.

  2. 02 · Context

    Our patented context layer prepares the conversation before any AI model reads it.

  3. 03 · Answer

    Sentiment and the reason, by report, platform or API.

Book a demo 20 minutes, on your own brand.

Right the first time. And the same when you ask twice.

96%

sentiment accuracy, published. See the Science

Patented

context layer

Hours

not weeks

Common questions

How is this different from the sentiment in my listening tool?

Listening tools score the words. We read each part of the conversation in context and give you the reason.

What data do you use?

Yours, your listening platform's, or ours. We never resell your data.

How fast do I get an answer?

Hours, not weeks.

See sentiment you can trust, on your own brand.

Book a 20-minute demo. We'll show you sentiment on your own brand, and the reasons behind it. No prep needed.