Learn to understand your customers better through natural language processing
In addition to classic structured customer data, nowadays unstructured data, for example texts from e-mails or social media, are increasingly available to companies. The enormous potential of the analysis of these data, which are generated through interactions with your customers, comprises completely new approaches for revealing customer insights that go beyond already established segmentation or cluster processes.
The success factor of these analyses is natural language processing (NLP): Texts can be abstracted, quantified and analyzed on the basis of their content. In this way, companies can, for example, optimize your customer support or better integrate the customer's opinions in future decision-making processes.
In our MHPDeepDive "Listen to Your Customer’s Voice", we will show you how you can analyze, understand and quantify your customers' texts using natural language processing (NLP) models.
This MHPDeepDive will be concerned with the following themes, among others:
- The MHP NLP Pipeline - How to get from the raw text to meaningful analyses of unstructured data.
- What preconditions and challenges apply for natural language processing?
- What is the objective? What results you can achieve with natural language processing.
Consultant | Big Data and IoT Technologies
Senior Consultant | Big Data and IoT Technologies
Start: 11:00 (CET)
End: 11:30 (CET)