# Sentiment Analysis

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsentiment-analysis%2F35567%3E%5C
**Category:** 🤗Transformers\
**Created:** [April 4, 2023, 9:48pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsentiment-analysis%2F35567 "2023-04-04T21:48:44Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![venetis](https://avatars.discourse-cdn.com/v4/letter/v/90ced4/32.png) [@venetis](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fvenetis)%5C
**Post date:** [April 4, 2023, 9:48pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fsentiment-analysis%2F35567%2F1 "2023-04-04T21:48:44Z")

</div>

How would you tackle a problem where you have to perform sentiment analysis in long texts, eg 3000 words. I was thinking to split into chunks, perform sentiment analysis and then average probabilities. My main issue is that I have to perform these actions in databricks.

Thanks