How To Fix CRM_SOC_MSG023 - Sentiment calculation finished

CRM_SOC_MSG023 - Overview

• Message type: E = Error

• Message class: CRM_SOC_MSG - Message Class for Social Media Log

• Message number: 023

• Message text: Sentiment calculation finished

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

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Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

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Smart SAP Assistant

• What is the cause and solution for SAP error message CRM_SOC_MSG023 - Sentiment calculation finished ?

  The SAP error message CRM_SOC_MSG023, which states "Sentiment calculation finished," typically indicates that the sentiment analysis process has been completed, but it may not necessarily imply an error. Instead, it could be a notification that the sentiment calculation has concluded, and you may need to check the results or logs for further details.
  Possible Causes:
  
  Completion Notification: The message may simply indicate that the sentiment analysis process has finished running.
  
  Configuration Issues: If the sentiment analysis is not producing expected results, there may be configuration issues in the sentiment analysis settings.
  Data Quality: The input data for sentiment analysis may be insufficient or of poor quality, leading to inconclusive results.
  System Performance: If the system is under heavy load, it may affect the performance of the sentiment analysis process.
  
  Solutions:
  
  Check Results: Review the results of the sentiment analysis to determine if they meet your expectations. Look for any logs or output files that provide insights into