# Helpz with a Project

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelpz-with-a-project%2F112114%3E%5C
**Category:** Beginners\
**Created:** [October 15, 2024, 8:39am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelpz-with-a-project%2F112114 "2024-10-15T08:39:37Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![MaxNpl](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/maxnpl/32/32948_2.png) [@MaxNpl](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FMaxNpl)%5C
**Post date:** [October 15, 2024, 8:39am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelpz-with-a-project%2F112114%2F1 "2024-10-15T08:39:37Z")

</div>

I need a hand, I would like to train/make a model to do Sentiment analysis of a context/situation, given a sentence/action.

ex.

Context: There are $0.50 available. You have to choose between two possible actions:  
● BOOST THE OTHER PARTICIPANT: In which case, you get 0 cents and the other participant gets $0.50;  
● DON’T BOOST THE OTHER PARTICIPANT: In which case, you get $0.50 and the other participant gets 0 cents.

Action: BOOST THE OTHER PARTICIPANT

And I would like from the model a single Sentiment score of this action (but evaluated in the general context).

I have tried various BERT models but they do not satisfy me, perhaps I have simply tried the wrong models.

Advice?

---

<div class="post-metadata">

**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2FJohn6666)%5C
**Post date:** [October 15, 2024, 9:00am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fhelpz-with-a-project%2F112114%2F2 "2024-10-15T09:00:14Z")

</div>

I don’t know much about it, but I think that field is almost exclusively BERT models or their derivatives… Roberta is probably BERT too.

> **[Getting Started with Sentiment Analysis using Python](https://huggingface.co/blog/sentiment-analysis-python)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

> **[Models - Hugging Face](https://huggingface.co/models?sort=trending&search=sentiment)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

> **[Taking Sentiment Analysis to the Next Level with Huggingface’s Pretrained Models](https://medium.com/ai-science/taking-sentiment-analysis-to-the-next-level-with-huggingfaces-pretrained-models-c25c0c46f06f)**
>
> Introduction