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Banking Feedback Classifier: Split Bank Complaints into Topics

Classifies complaints and reviews with a topic set made for finance and flags security and fraud reports separately.

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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.

Mobile / internet banking
The mobile app and internet banking.
Cards
Credit/debit cards, limits, card delivery.
Fees and charges
Fees, charges, interest and commissions.
Loans
Loan applications, loans and mortgages.
Customer service
Call centre and customer service.
Branch / ATM
Branches, ATMs and queues.
Fraud / security
Fraud, unauthorised transactions, account security.
Money transfer
Transfers and payments not arriving.
Opening / closing accounts
Opening and closing accounts.

Where is it used?

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

  • 01

    Complaint-site monitoring

    Split bank complaints from complaint sites and social media into topics and see which product or channel causes trouble.

  • 02

    Fraud prioritisation

    Separate unauthorised-transaction and security reports from other complaints and alert the security team instantly.

  • 03

    Digital channel experience

    Follow mobile and internet banking feedback by release and period to measure your digital transformation.

  • 04

    Fee and compliance risk

    Spot rising fee, commission and refund complaints early to reduce regulatory risk.

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.

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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.

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