The dev team has been hard at work in the last few months getting our new functionality ready for customers and it has now been launched.

Built on top of our language analysis REST API, the new dashboard provides a variety of new language capabilities whilst also enhancing the usability of existing features.

One of the most exciting new features is Meta-Data Queries. Relative Insight are frequently asked to split language data into sub-sets so clients can understand how particular groups discuss topics or how the discussion changes over time. Clients may want to isolate the language of people from the USA or focus on content written within a particular timeframe.

This is now possible directly within the Relative Insight Dashboard. All associated meta-data collected directly from social media sources or via social media listening tools can be extracted and queried to create sub-data sets for language comparisons. This allows a variety of comparison dimensions to be explored and gather more specific insight.

The dashboard has been extended to offer native support to a wider variety of data sources.

Facebook, Twitter and YouTube comment data can be collected directly from their respective APIs (using your own access tokens) and analysed immediately within the dashboard.

Files exported from social media listening tools such as BrandWatch, DataSift and NetBase are also supported making it even easier to collect specific language.

With the new dashboard comes access to our Audience Language Models (ALMs).

ALMs capture the unique language of different consumer and audience groups and offers insight into their attitudes and interests. ALMs can identify gaps between a brand’s language and the language used by the target consumers when discussing a brand or market segment.  These insights can improve engagement with those groups and take advantage of emerging trends.

ALMs currently available include:

  • UK Millennials
  • UK Generation Z
  • US Men
  • US Women
  • UK Men
  • UK Women

More will be made available in the coming months and we can also build custom ALMs for customers.

The dashboard also features a completely redesigned user interface increasing speed and efficiency.

Data is now organised into Projects, which can be easily shared with fellow users in your organisation. Language data sets are easier to navigate and provide greater context about the data. Comparisons can be initiated directly via our new File Explorer and graphs can now be created and exported from any of the dashboard data sets, allowing you to easily create visually striking reports and presentations.

These are just some of the new highlights provided with this improved dashboard. New updates and even more improvements will arrive in the next few months, including; user-notifications to highlight analysis status and other dashboard related events, new result sets that show the concentration and spread of the language used across a data set, and customisable summary results to instantly show you key parts of the language.

Let us know if you have any suggestions!

By Phil Greenwood - CTO