Release Notes - POI Data Packs (v1.3.0)

Added 📝 Digital Trace Summarisation Add-On!

We are excited to introduce our latest enhancement to the platform: the Digital Trace Summarisation Add-On. This innovative tool leverages cutting-edge Large Language Models (LLMs) to distill extensive digital traces into concise, insightful summaries, offering a comprehensive understanding of Points of Interest (POIs).

How the LLM Works for Summarisation:

  1. Content Analysis: The LLM scans and identifies key information and highlights within the digital traces.
  2. Summary Generation: It generates an approximately 20-word summary that encapsulates the essential insights from the original content.
  3. Optimisation for Clarity and Accuracy: Summaries are crafted to be clear and precise, ensuring quick comprehension of the main points.

In-depth Content Analysis:

  • Content ID and POI ID: Each digital trace is uniquely identified by a content ID and linked to a specific POI ID, ensuring seamless integration and cross-referencing within different datasets and reports.
  • Date and Language: Information includes the original publication date and language of the digital trace, maintaining context and relevance for the summaries provided.
  • LLM Powered Summary: The summarisation feature condenses the original content into an approximately 20-word version, highlighting the key insights and making it easier to grasp the essence of the feedback.
  • Sentiment Analysis: Proprietary algorithms evaluate the sentiment of the digital traces, providing a percentage score (1-100) that reflects overall customer satisfaction. This score is derived from various attributes of the online content, including feedback, topics, opinions, and languages.


  • Efficiency: Significantly reduces the time required to analyse large volumes of content, providing quick access to key information.
  • Accuracy: Ensures precise and reliable summaries that reflect the original content's tone and details.
  • Scalability: Capable of processing extensive amounts of text consistently, making it a robust tool for large datasets.
  • Enhanced POI Insights: Provides a deeper understanding of user experiences and sentiments related to specific POIs, aiding in data-driven decision-making and strategy formulation.

By harnessing the power of LLMs for content summarisation, our product not only enhances information accessibility and usability but also supports more informed and strategic decisions regarding POIs.

📝 Additional Notes

📥 Support and Feedback

  • For assistance or to share your valuable feedback, please contact us. Your input is crucial in our journey of continuous improvement.