---
license: apache-2.0
---
# **BERTić-Tweet**

BERTić-Tweet is a version of the [BERTić-Tweet-Base](https://huggingface.co/DarijaM/BERTic-Tweet-base)*, fine-tuned for sentiment analysis using 5,610 annotated Serbian COVID-19 vaccination-related tweets.
Specifically, it is tailored for **five-class sentiment analysis** to capture finer sentiment nuances in the social media domain using the following scale: very negative, negative, neutral, positive, and very positive.

**BERTić-Tweet-Base is based on the [BERTić model](https://huggingface.co/classla/bcms-bertic), which has been additionally pretrained for the social media domain and is licensed under the Apache 2.0 license.*

## How to Use
To use the model, you can load it with the following code:

```python
from transformers import AutoTokenizer, ElectraForSequenceClassification

model_name = "DarijaM/BERTic-Tweet"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = ElectraForSequenceClassification.from_pretrained(model_name)