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Sentiment Analysis of Text

Food for Thought​

AI models can determine the sentiment (positive, negative, or neutral) expressed in a given text.

Example​

Analyzing customer reviews of a product to gauge overall satisfaction.

Key Questions​

  • What business processes and tasks require the determination of a sentiment expressed in textual information?
  • How does the identified sentiment affect the next steps of the process?
  • Whose sentiments are we interested in to improve our offerings, processes, and experiences?

Implementation​

Classifying can be achieved with a prompt on a foundation model, particularly a large language model. Here you find how to access a foundation model in SAP BTP to implement a use-case that includes “Sentiment Analysis” as an AI functional capability.

After you have access to a foundation model, you can use this learning journey to implement summarization:

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