Mobile Network Feedback Classifier

Mobile Network Feedback Classifier is a pre-trained AI model specifically designed for Mobile Network Operators (MNOs). It automatically analyzes consumer feedback and classifies it into 12 key categories: Network Coverage, Call Quality, Data Speed & Reliability, Network Stability, Roaming & International Use, Plans & Pricing, Billing & Charges, Customer Support, Promotions & Offers, Device & SIM Services, Security & Privacy, and Brand Perception.

By transforming unstructured telecom feedback into structured insights, the model enables operators to understand customer perceptions, identify recurring service issues, and make data-driven decisions. Whether analyzing survey responses, call center transcripts, app reviews, or social media posts, the model ensures that telco teams can quickly capture trends and problem areas without manual sorting.

Trained on large and diverse datasets of telecom-related feedback, the model processes text input—ranging from short comments to detailed complaints—and assigns each entry to the most relevant category among the twelve predefined labels. If a feedback item does not clearly fit any category, the model outputs “None,” ensuring that ambiguous or irrelevant content is filtered out rather than misclassified.

Beyond Keywords: Understanding Telco Feedback

Traditional keyword-based approaches often fail to capture the real meaning behind consumer feedback. For example:

• “I can’t get 4G in my area” could be misclassified as a Data Speed & Reliability issue, when in fact it clearly relates to Network Coverage.
• “My calls keep dropping during peak hours” might be tagged as Network Stability but also reflects Call Quality, showing how feedback often spans multiple categories.
• “I got a discount on my new plan” could be read as a generic comment, when it actually belongs to Promotions & Offers and Plans & Pricing.

Mobile Network Feedback Classifier goes beyond keywords by applying context-aware semantic analysis. It understands telco-specific language, abbreviations, and multi-topic sentences, ensuring each piece of feedback is mapped to the most relevant category—or multiple categories if needed.

The model also supports consumer input in 30+ languages—including English, Dutch, Spanish, German, French, and more. This multilingual capability enables accurate classification and trend tracking across regions, making it a powerful tool for both global and multi-market operators.

Unlocking Value from Telco Feedback

With thousands of consumer comments published daily, manual classification is slow and error-prone. This model automates the process, allowing operators to:

• Marketing teams to track consumer sentiment on packages and campaigns.
• Network operations to identify coverage gaps and recurring technical issues.
• Customer service managers to monitor problem resolution efficiency.
• Infrastructure teams to gauge customer perception of technical networks.

Example Scenario: A mobile operator receives hundreds of social media mentions per day. Using this model, feedback about poor coverage in a city, complaints about customer service hold times, and praise for new campaign discounts are automatically classified. This enables teams to act quickly and allocate resources where they are needed most.

Kimola’s Difference

Kimola’s Mobile Network Feedback Classifier offers more than automated labeling:

• Industry-specific classification tailored for telco operations and marketing needs.
• Context-aware semantic analysis to reduce misclassification and handle ambiguous feedback.
• Scalable architecture capable of processing thousands of feedback items daily.
• Multilingual support for unified analysis across multiple regions.
• Actionable insights that transform raw feedback into structured data for strategy, operations, and marketing.

By focusing on telco-specific feedback, the model turns consumer opinions into business intelligence, helping operators optimize campaigns, improve network quality, and enhance customer satisfaction.

Try It Yourself

Use the console above to test the model. You can copy and paste your telco feedback files—social media posts, surveys, or call center transcripts—and instantly see how each entry is classified. Testing with your own data provides insight into the model’s categorization logic and highlights areas for operational improvement.