Interactive Demo for FacetScore's Social Media analysis capabilities is live

Arkilon Ltd launches an interactive FacetScore demo analyzing social media content across five key Facets—Staff, Atmosphere, Food, Location, and Drinks. This feature preview shows how the system performs multilingual Sentiment Analysis, and understands content and context of posts.

An example image showing FacetScore highlighting content in a tweet.
An example image showing FacetScore highlighting content in a tweet.

Glasgow, 2025-01-13 - Arkilon Ltd launches an interactive demo to showcase FacetScore's Social Media analysis capabilities.

The demonstration website, available at https://facet-demo.facetscore.com , illustrates how FacetScore can hone in on specific Facets in content, and then understand the Sentiment behind them.

FacetScore Demonstration website, showing the highlighted Facets.
FacetScore Demonstration website, showing the highlighted Facets.

Demonstration scope

The demonstration provides a subset of FacetScore's Facet Identification Stage, and is designed to highlight our ability to extract meaning from text.

We focus on the following five key Facets:

  • Staff: FacetScore evaluates customer-staff interactions by analyzing key indicators of professionalism, friendliness, and service quality, providing detailed insights into the human elements of customer experience.
  • Atmosphere: Through sophisticated natural language processing, the system assesses the overall ambiance and environmental factors that contribute to customer satisfaction and comfort within a venue.
  • Food: The platform conducts comprehensive analysis of dining-related feedback, examining everything from menu diversity and food presentation to taste and overall culinary experience.
  • Location: FacetScore evaluates geographical and accessibility aspects, processing customer feedback about venue findability, convenience, and location-based advantages or challenges.
  • Drinks: The system provides detailed analysis of drink-related experiences, including variety, quality, service efficiency, and overall satisfaction with beverage offerings.

The demonstration works with any content you type in too - just choose "Type my own" from the dropdown menu, and you can enter your content in any supported language.

This Facet Identification Stage is an early part of the FacetScore process. In the full version of the service, further processing is carried out in order to generate the FacetScore and identify insights and recommendations.

The demonstration is available to try now.

Visit the demo by clicking or tapping here, and you can see for yourself how FacetScore can read and understand social media posts.

Keep reading to learn more.

Where the demo fits into FacetScore

The demonstration shows off the first two blocks in the "Processing" section of the diagram below:

An overview of the processing that FacetScore performs
An overview of the processing that FacetScore performs

The demo provides the extracted content related to each Facet, and how the Sentiment Analysis engine understands the tone of the example.

FacetScore supports more than just English

FacetScore is trained and tested on several languages. We support English, Japanese, Korean, and Thai - but we can perform extractions in other languages as well. We have included some examples in these languages too.

Here are some examples:

Japanese

In this example, the post shows a mixed opinion about the staff and the drinks.

Example of FacetScore extracting details about the Atmosphere of a venue from a Japanese social media post.
Example of FacetScore extracting details about the Atmosphere of a venue from a Japanese social media post.

Thai

In this Thai example, the customer had an overall good experience.

Example of FacetScore extracting details about the Atmosphere of a venue from a Thai social media post.
Example of FacetScore extracting details about the Atmosphere of a venue from a Thai social media post.

Korean

In Korean, the customer particularly liked the drinks.

Example of FacetScore extracting details about the Drinks of a venue from a Korean social media post.
Example of FacetScore extracting details about the Drinks of a venue from a Korean social media post.
The demonstration is available to try now.

Visit the demo by clicking or tapping here, and you can see for yourself how FacetScore can read and understand social media posts.
About Arkilon Ltd.

Founded in Glasgow in 2022, Arkilon Ltd develops innovative business intelligence solutions that make advanced data analytics accessible to businesses of all sizes.

Registered in Scotland as SC730513 with a registered office of 272 Bath Street, Glasgow, G2 4JR. Registered for VAT as GB420943905. Registered with the ICO as ZB652074.

For more information about FacetScore, visit facetscore.com

Media Contact:
Ryan Stenhouse
[email protected]