✍🏼

POI Digital Trace Summarisation

🔢
SKU: DPK-POIADD-DGS
💡
Please note that the POI Digital Trace Summarisation Add-On is created using last generation LLMs.

How the LLM Works for Summarisation:

  1. Content Analysis: The LLM identifies key information and highlights within the text.
  2. Summary Generation: It then produces an approximately 20-word summary that captures the essential insights of the original digital trace.
  3. Optimisation for Clarity and Accuracy: The summary is crafted to be clear and concise, allowing quick comprehension of the main points.

Benefits of LLM Summarisation:

  • Efficiency: Reduces the time needed to analyse content, providing quick access to key information.
  • Accuracy: Ensures the summary is precise and reflects the original content's tone and details.
  • Scalability: Capable of processing large volumes of text consistently and reliably.

By leveraging LLMs for content summarisation, our product not only enhances information accessibility and usability but also supports data-driven decision-making.

Field Name
Defintion
Type
Example
poi_id 🔑
Unique identifier of a POI. Use it to recognise the point of interest or as a foreign key to link different files and/or packages together.
STRING
0056912b351fd6b97979101a7d3a2004c31dceb7
contend_id 🔑
Unique identifier of a content.
STRING
8ad136a681e728a31aabcac786dcb56315596f5a
date 🔑
The date on which digital trace was originally published online.
DATE
2023-05-26
language
Text language of the digital trace in ISO 639-1 Code.
STRING
en
summary
LLM powered summarisation that distills the original content into a concise, around 20-word version that highlights the key insights of the original content. Additionally, you may request that we create a summary in a specific language. Please consult this document for a comprehensive list of the languages available for translation.
STRING
Great food, generous portions, fair prices. Helpful staff, large quality shrimp and squid.
sentiment
Proprietary percentage KPI (valid range from 1 to 100) which measures the level of customers global satisfaction of the digital trace. The score is obtained through a proprietary semantic algorithm that takes into consideration multiple attributes of the online content (feedbacks, topics, opinions, languages...).
DOUBLE
85.3
🔠Available Languages for POI Digital Trace Summarisation