<section id="snowflake-cortex-sentiment">
<h1>snowflake.cortex.Sentiment<a class="headerlink" href="#snowflake-cortex-sentiment" title="Permalink to this heading">¶</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="snowflake.cortex.Sentiment">
snowflake.cortex.Sentiment(text: Union[str, Column], session: Optional[Session] = None) → Union[float, Column]<a class="headerlink" href="#snowflake.cortex.Sentiment" title="Permalink to this definition">¶</a></dt>
<dd>Sentiment calls into the LLM inference service to perform sentiment analysis on the input text.
<dl class="field-list simple">
<dt class="field-odd">Parameters:</dt>
<dd class="field-odd"><ul class="simple">
<li>text – A Column of text strings to send to the LLM.</li>
<li>session – The snowpark session to use. Will be inferred by context if not specified.</li>
</ul>
</dd>
<dt class="field-even">Returns:</dt>
<dd class="field-even">A column of floats. 1 represents positive sentiment, -1 represents negative sentiment.
</dd>
</dl>
</dd></dl>

</section>

snowflake.cortex.Sentiment¶