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Session Language Analytics

The Session Language chart displays the distribution of chat sessions by detected language. This feature helps you understand which languages your users communicate in and ensures your chatbot is effectively engaging with users across different regions.

How is Language Handled?​

The language of each session is automatically detected and processed by the AI model in use. This enables seamless multilingual support without the need for manual intervention. The chatbot dynamically adjusts to user messages, providing responses in the same language detected in the session.

How to Interpret the Chart​

  • The chart shows the number or percentage of sessions grouped by language (e.g., English, Turkish, Spanish).
  • High counts in a specific language suggest that most of your users prefer that language, while diverse language usage may require enhanced support for multilingual users.

Use Cases​

  1. Understand Language Distribution
    Identify which languages are most commonly used by your users. This helps prioritize user experience improvements for key demographics.

  2. Monitor Regional Expansion
    Track how language usage evolves over time to understand if your platform is expanding to new regions or user segments.

  3. Optimize Language Support
    Ensure that AI models are effectively handling languages that are frequently detected. If needed, add AI models optimized for specific languages.

Actions to Take​

  • Monitor Multilingual Traffic: Identify trends where multiple languages are gaining traction and adjust accordingly.
  • Enhance Localized Features: Implement culturally appropriate responses and prompts in high-usage languages.
  • Evaluate AI Model Performance: Ensure the AI model performs consistently across all supported languages.

FAQs​

  1. How does the platform detect the session language?
    The language is automatically detected by the AI model based on the content of user messages. The chatbot then responds in the same language.

  2. Do I need to configure different AI models for each language?
    Not necessarily. Many AI models, such as GPT-based models, support multiple languages by default. However, for better performance in certain languages, you may choose to add specialized models.

  3. What happens if a user's language is not recognized?
    If the AI model cannot detect the language, it will default to the primary language configured for the chatbot.

  4. Can I see which languages are growing in popularity?
    Yes, by reviewing the language trends over time in the analytics, you can track shifts in user language preferences.

The Session Language chart helps ensure that your chatbot remains responsive and effective across multiple languages, enabling better engagement with diverse user groups.