The key to brand management is to maintain, position, and define a good brand reputation. A marketing strategy that does not reflect customer feedback cannot achieve the expected effect. In addition, as the service expands, analyzing reviews and feedback individually to derive results is a very laborious task. When artificial intelligence is in charge of this role, more objective feedback analysis results can provide a direction for the future planning process.
Based on data, we can analyze customer reviews and related social media posts to play a key role in enhancing brand value through customer experience, online reputation protection, and brand reputation monitoring. You can derive information such as customer satisfaction by analyzing customer review sites and social media posts using an emotional interpretation method. This can serve to monitor and protect your brand's reputation.
Data | Data type | Content | Use mode |
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Input data | CSV | Customer reviews and social media posts | API |
Output data | CSV | Sentiment analysis result | API |
Payment | Subscription method | Attached file upon application |
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Prepaid charge | Online | Customer data required for model creation |
Application procedure |
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