SOL-C01 · Question #207
You're using Snowflake Cortex's CLASSIFY TEXT function to analyze customer survey responses. A particular survey question asks respondents to list their favorite features of a product. You want to use
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Question
You're using Snowflake Cortex's CLASSIFY TEXT function to analyze customer survey responses. A particular survey question asks respondents to list their favorite features of a product. You want to use CLASSIFY TEXT to categorize the responses, but many responses contain multiple distinct features. How can you best leverage CLASSIFY TEXT to classify each feature mentioned in a single response individually?
Options
- AUse a regular expression UDF to split each survey response into individual sentences (assuming
- BConcatenate all survey responses into a single large string and apply CLASSIFY_TEXT to this
- CApply CLASSIFY _ TEXT directly to each full survey response. The function is designed to handle
- DThere is no way to classify multiple features within a single response using CLASSIFY TEXT. The
- EUse a Python UDF that leverages an NLP library (e.g., spaCy) to extract individual features from
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