Hi here. I am working on a project in which I have to analyse sentiment on a arabic dataset. I have been using Camel_tools with the original dataset and Textblob, AllenNLP with the translated dataset. Both methods give me an unefficient result. That’s why I want to know if there is a pytorch module i could use with the original dataset. If not, We could work as a community to build it.
Thanks.
There are two things I have in mind:
- If you have sufficient labeled train data, you can simply treat it as an English sentiment analysis task.
- Try a multi-language pretrained model (eg: XLMR and M-BERT) and add your sentiment analysis layer ton top.