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Banking Feedback Classifier
This model is created specifically for the Banking Industry with 12 main categories to help marketers to understand banking consumers better.
This model is created specifically for the Banking Industry with 12 main categories to help marketers to understand banking consumers better.
| Account Management | : Feedback about opening, maintaining, or managing accounts, including balance checks and account updates. |
| Mobile & Online Banking | : Mentions of the bank’s mobile app or online platform: usability, speed, reliability, or technical issues. |
| Fees & Charges | : Opinions on transaction fees, account maintenance charges, ATM costs, or hidden costs. |
| Customer Service | : Experiences with branch staff, call centers, or digital support channels — responsiveness and problem resolution. |
| Transactions & Payments | : Comments about money transfers, card payments, bill payments, and transaction processing times. |
| Loans & Credit | : Feedback on personal loans, credit cards, overdrafts, or credit approval and limits. |
| Savings & Investments | : Mentions of savings accounts, investment products, interest rates, or long-term financial planning. |
| Security & Fraud | : Feedback about safety of accounts, fraud prevention, suspicious activity alerts, or data protection. |
| Branch & ATM Experience | : Experiences with physical branches or ATMs, including wait times, staff interactions, and machine availability. |
| Product Variety | : Opinions on the range of banking services offered (insurance, mortgage, business banking, etc.). |
| Trust & Reputation | : Mentions of overall confidence in the bank, ethical practices, or brand image. |
| Promotions & Offers | : Reactions to marketing campaigns, special offers, or product promotions. |
Banking Feedback Classifier is a pre-trained AI model tailored for banks and financial institutions. It automatically analyzes consumer feedback and classifies it into 12 key categories: Account Management, Mobile & Online Banking, Fees & Charges, Customer Service, Transactions & Payments, Loans & Credit, Savings & Investments, Security & Fraud, Branch & ATM Experience, Product Variety, Trust & Reputation, and Promotions & Offers.
Trained on large datasets of finance-related feedback, the model processes unstructured text such as call center transcripts, mobile app reviews, surveys, or social media posts, and assigns each entry to the most relevant category. If a feedback item does not clearly fit any label, the model outputs “None”, ensuring ambiguous or irrelevant content is filtered rather than misclassified. By turning raw feedback into structured insights, banks gain clarity on consumer perceptions, service gaps, and growth opportunities.
Traditional keyword-based methods often struggle with the complexity of financial feedback. For example:
Banking Feedback Classifier goes beyond simple keywords with context-aware semantic analysis. It interprets banking-specific terminology, abbreviations, and multi-topic feedback, ensuring accurate classification across customer touchpoints.
The model supports feedback in over 30 languages, including English, Spanish, German, French, and Dutch, making it a powerful solution for multinational banks. This multilingual capability enables accurate cross-region classification and customer trend tracking.
Banks and financial institutions manage thousands of customer interactions daily across branches, ATMs, apps, and service channels. Manual review is slow, inconsistent, and costly. This model automates classification, enabling:
Example Scenario: A bank receives thousands of reviews from its mobile app and social media. With this model, comments like “app crashes during login”, “loan approval process was smooth”, and “fees are unclear” are automatically categorized. This enables faster responses, more transparent communication, and better service improvements.
Kimola’s Banking Feedback Classifier offers more than automated tagging:
By focusing on banking-specific feedback, the model transforms consumer opinions into business intelligence—helping banks enhance digital platforms, optimize branch operations, and strengthen customer trust.
Use the console above to test the model. Paste a survey response, mobile app review, or customer complaint, and instantly see how it’s categorized into Account Management, Mobile & Online Banking, Fees & Charges, Customer Service, Transactions & Payments, Loans & Credit, Savings & Investments, Security & Fraud, Branch & ATM Experience, Product Variety, Trust & Reputation, or Promotions & Offers. Testing with your own data shows how the model interprets real banking feedback and uncovers actionable insights.
You can also train custom AI models to classify customer feedback with your own labels. Upload your training set, build your model, and start analyzing—all no code!
Get started with ready-to-use AI models to analyze customer feedback with the highest accuracy possible.
We offer super-clean API documentation with code samples to connect any application with Kimola.
Find out how Kimola can improve your feedback analysis process.
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Banking Feedback Classifier is one of Kimola’s industry-specific AI models. It is a pre-trained solution that automatically analyzes and categorizes consumer feedback in the banking industry across 12 categories such as Account Management, Mobile & Online Banking, Fees & Charges, Loans & Credit, and Security & Fraud.
Banks, credit unions, fintech companies, and financial institutions that need to understand consumer sentiment across digital channels, branches, and service points.
No. The model is pre-trained and easy to use. Simply upload your data in supported formats and the model will classify it automatically. Supported formats include .xls, .xlsx, .csv, and .tsv, ensuring seamless integration with existing workflows.
Yes. Mentions of fraud, scams, or suspicious activity are captured under the Security & Fraud category, helping banks take proactive measures.
Yes. Whether it’s a short app store review or a detailed survey response, the model applies the same classification process.
Yes. Banking Feedback Classifier can be integrated seamlessly through our API. Depending on your subscription, API access is included in selected plans. For details, visit the Plans & Pricing page.
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