Sentiment Analysis leverages a Natural Language Processing (NLP) API or a Large Language Model (LLM) API to interpret and apply sentiment to unstructured data in open-ended responses. All clients have access to the NLP-based version by default; to unlock the enhanced LLM-powered sentiment analysis, AI and Skipper must be enabled for the account.
1. Interpreting Sentiments
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2. Globally Filtering with Sentiments
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Sentiments can be used as filters for open ended responses.
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3. Question level sentiment filters
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4. Coding and Bulk Actions
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Sentiments also appear as codes in the autocoding menu.
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5. Turning off Sentiments at the question level
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6. Custom Virtual Questions
Helpful Hint: To ensure you are using the correct logic for a sentiment code, go to the filters menu, enable the filter for the specific question and sentiment, and then click Switch to advanced mode. Copy the logic that appears in the Custom filters text box, and paste it into your Virtual Question. Remember to delete the text before switching back to basic mode, to find the logic for a different sentiment code.
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7. Visualizing Sentiments
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To see a quantified view of Sentiment Analysis:
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