BranchVoice
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Sentiment Analysis: Measure the Feeling in Any Text

Scores the overall tone on a five-level scale and shows the breakdown across eight basic emotions. It also captures the balance in mixed reviews (e.g. bad delivery, great product).

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Examples

Result

The result will appear here.

Results are AI estimates and may contain errors. Your text is not stored; the result for the same text is cached briefly.

Labels

The model scores the probability of each label below for every text. You can extend the label set for your needs or use it with labels made entirely for you.

Joy
Delight, happiness, an experience beyond expectations.
Trust
Confidence in the brand, loyalty, the wish to come back.
Surprise
Something unexpected; a positive or negative surprise.
Neutral
Informative text with no clear emotion.
Disappointment
Disappointment, sadness, expectations not met.
Worry
Worry, anxiety; fear about safety or losing money.
Anger
Anger, frustration, outrage; often needs an urgent reply.
Disgust
Disgust or contempt; common in hygiene and quality complaints.

Where is it used?

Examples of how teams use this model in their daily work.

  • 01

    Brand reputation tracking

    Follow the sentiment trend across social media, complaint sites and map reviews week by week and catch sudden drops before they become a crisis.

  • 02

    Campaign and launch impact

    Measure whether customer reaction turned positive or negative after a new product, a price change or an ad campaign.

  • 03

    Support prioritisation

    Move messages carrying anger and disappointment to the front of the queue so your team answers the riskiest customers first.

  • 04

    Branch and region benchmarking

    Compare branches, cities and periods fairly with sentiment scored on the same scale.

Use this model in your own system

Change the labels, add new ones for your industry, or connect the model to your CRM, contact centre or e-commerce stack through our API. For API access and custom models, write to us at [email protected].

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Frequently asked questions

Is this tool free?
Yes. You can analyse a number of texts a day without signing in; heavy use gets a short cool-down.
Which languages does it support?
It understands multilingual text, Turkish and English first; results are shown in your interface language.
Is my text stored?
No. The text is only processed for the analysis; the result is cached briefly so repeated requests return quickly.
Can I analyse in bulk?
The BranchVoice platform collects your reviews from their sources automatically and classifies them with these models in bulk; request a demo to try it.

Other tools

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Want to analyse thousands of reviews automatically?

BranchVoice collects reviews from Google Maps, complaint sites, social media, app stores and marketplaces every day, classifies them with these models and turns them into alerts, reports and dashboards.

Request a demo