What is Social Listening and How Can It Improve my Brand Image?

April 27, 2021 - Online
What is Social Listening and How Can It Improve my Brand Image?

This webinar will be hosted by our partner Redfield. Please note it will be held in Swedish.

Do you care about your company’s brand image? Are you interested to know what people think about your business?

It is increasingly important for organisations to understand their brand reputation. Brand reputation can be considered one of the most important assets of a company, thus, gaining insights and measuring your brand image is essential for business success.
Social listening can assist your firm in gaining insights on your brand image. Track conversations and mentions related to your brand or a competitor on social media. By analyzing this data you can understand what people are thinking about your brand.

In recent years the technology for processing text has become increasingly more sophisticated and efficient by the introduction of Natural Language Processing and deep learning methods. Applying tools with graphical interfaces like KNIME, new powerful language models can be used by people with no coding skills.

The National Library in Sweden recently released a language model in Swedish. We at Redfield decided to develop an integration that could enable you to perform advanced NLP-tasks in a very simple way.

Join this webinar to find out how social listening could support your business


  • Why is social listening important?
  • What is NLP and how can it be used?
  • Developing Swedish language models.
  • Demonstration
  • Q&A

Meet the speaker:

This webinar is run by Johan Tornborg, CEO at Redfield and Love Börjeson, Head of KBLab, the Data Lab at National Library of Sweden.


How do I join the webinar?

You’ll receive a link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Absolutely - fire away!

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of KNIME here: knime.com/download

What other resources will help me to get started in KNIME?