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  2. Fiori UI for Analyze Sentiments Fiori Application
  3. 14 day trend


What is 14 day trend in SAP CA-EPT-FIO-SMI - Fiori UI for Analyze Sentiments Fiori Application?


SAP Term: 14 day trend

  • Component: CA-EPT-FIO-SMI

  • Component Name: Fiori UI for Analyze Sentiments Fiori Application

  • Description: The two-week tendency calculated using the formula: net sentiment value in the last seven days – net sentiment value in the last 14 days/ modnet sentiment value in the last 14 days*100. &EXAMPLE& For a net sentiment of -40 in the last 14 days and the net sentiment of 20 in the last 7 days, the 14 day trend = 20--40/mod40*100 = 150%.


Smart SAP Assistant

  • Key Concepts:
    The 14 day trend component of the CA-EPT-FIO-SMI Fiori UI for Analyze Sentiments Fiori Application is a feature that allows users to view sentiment analysis data over a 14 day period. This data is presented in the form of a graph, which shows the sentiment score for each day over the 14 day period. The sentiment score is a numerical value that indicates how positive or negative the sentiment of a given text is. 
    
    How to use it:
    To use the 14 day trend component, users must first select the text they wish to analyze. Once selected, they can then view the sentiment score for each day over the 14 day period by clicking on the “14 Day Trend” button. The graph will then be displayed, showing the sentiment score for each day over the 14 day period. 
    
    Tips & Tricks:
    When using the 14 day trend component, it is important to remember that the sentiment score is only an indication of how positive or negative a given text is. It does not necessarily reflect the overall opinion of a given text. Additionally, it is important to note that the sentiment score may change over time as new information becomes available. 
    
    Related Information:
    The 14 day trend component of the CA-EPT-FIO-SMI Fiori UI for Analyze Sentiments Fiori Application is just one of many features available in this application. Other features include sentiment analysis, keyword analysis, and topic analysis. Additionally, users can also customize their analysis by selecting specific keywords or topics to focus on.
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