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  1. SAP Glossary
  2. Sentiment Engagement
  3. strong negative


What is strong negative in SAP CEC-MKT-DM-SE - Sentiment Engagement?


SAP Term: strong negative

  • Component: CEC-MKT-DM-SE

  • Component Name: Sentiment Engagement

  • Description: A value of the sentiment score expressing a very negative attitude of a contact towards their item of interest.


Smart SAP Assistant

  • Key Concepts: 
    Strong negative sentiment is a term used to describe a sentiment score that is lower than -2.0 on the sentiment scale. This score indicates that the sentiment expressed in a text is very negative. CEC-MKT-DM-SE Sentiment Engagement is an SAP tool that uses natural language processing (NLP) to analyze customer feedback and determine the sentiment of the text. 
    
    How to use it: 
    The CEC-MKT-DM-SE Sentiment Engagement tool can be used to quickly and accurately analyze customer feedback and determine the sentiment of the text. The tool uses NLP to identify and classify words and phrases in the text, and then assigns a sentiment score based on the words and phrases identified. The sentiment score is then used to determine whether the sentiment expressed in the text is positive, neutral, or strong negative. 
    
    Tips & Tricks: 
    When using the CEC-MKT-DM-SE Sentiment Engagement tool, it is important to remember that the sentiment score is only one part of understanding customer feedback. It is also important to look at other factors such as context, tone, and intent when analyzing customer feedback. Additionally, it is important to remember that a strong negative sentiment score does not necessarily mean that the customer is unhappy with your product or service; it could simply mean that they are expressing a strong opinion about something. 
    
    Related Information: 
    The CEC-MKT-DM-SE Sentiment Engagement tool can be used in conjunction with other SAP tools such as SAP Customer Experience Management (CEM) and SAP Customer Data Platform (CDP) to gain deeper insights into customer feedback. Additionally, there are other NLP tools available that can be used to analyze customer feedback and determine sentiment scores.
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