Analyse Comments Using Text Analytics

With over 20 years of development and continuous improvement to it's capability, you'll benefit from Feedback Ferret's powerful text analysis technology that quickly and accurately identifies all the topics your customers are talking about.

Every sentence is automatically analysed in context and categorised into topics tailored to your business.

You receive a fully managed service. We do ALL the coding and data management which saves you time and resource. You simply receive the results.

In addition, you can combine the feedback comments with other customer data, such as customer profiles, transactions, marketing contact histories, product ownership, etc. This will enhance the analysis and reporting of your customer opinions.

Take advantage of our fully managed service:

  • No more coding, data management and data processing - this saves you time and resource.
  • The quality of your results are continuously monitored and the text coding is improved to ensure very high levels of accuracy.
  • All historic and current data is regularly re-processed against updated Lexicon content and reporting text analytics topic definitions.
Topic Coding

Text Analytics is ‘topic’ centric.  Your customers will talk about many different aspects of their experience and all topics mentioned will be presented in the text analysis results.  

Below is an example of how your topics are structured:

Feedback Ferret text analytics graphic

Industry specific topics are used which are then further tailored to your organisation. The topics and categorization of feedback comments needs to be set up at a level of granularity and usefulness that works for you and your organisation. We will work with you to establish these topics and categories during the early stages of your programme.

Sentiment Scoring

Understanding a customer’s sentiment score helps understand which customers are most dissatisfied or satisfied in any particular topic.

Sentiment scores are automatically calculated for each verbatim comment at sentence, overall answer and entire survey levels.  Sentiment scores take into account the contextual meaning of comments, not simply a count of positive and negative words. Sentiment scores are retained for use in analytics and reporting and are an extremely effective proxy for satisfaction rating or where there is no rating score.

If you’d like to understand more about how our Text Analytics works, please contact us:

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