Which function would you use to determine the sentiment of a customer review in Snowflake Cortex?

The Snowflake Cortex SENTIMENT function is specifically designed to analyze text and determine its sentiment. It returns a numerical score between -1 (negative) and 1 (positive), allowing for the classification of text, such as customer reviews, into categories like positive, negative, or neutral. This function is part of Snowflake's set of pre-trained models for common natural language processing tasks.

A. TRANSLATE: This function is used for converting text from a source language to a target language, not for analyzing its sentiment.

B. COMPLETE: This function uses a large language model (LLM) to generate text completions based on a prompt, not to analyze sentiment.

D. PARSEDOCUMENT: This function is used to extract text content from unstructured document files, not to determine the sentiment of the text.

1. Snowflake Documentation. (n.d.). SENTIMENT. Snowflake Inc. Retrieved from https://docs.snowflake.com/en/sql-reference/functions/sentiment. "Returns a sentiment score between -1 and 1 for a given string of text."

2. Snowflake Documentation. (n.d.). Snowflake Cortex LLM Functions. Snowflake Inc. Retrieved from https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions. This page lists SENTIMENT as a function for sentiment analysis.