We recently published a blog post about our journey in building our Arabic sentiment analysis model, a key model in our Arabic social media analysis engine that processed over 800 million documents.
Building a robust, production-grade system that can deal with all of the nuances of the Arabic language and its dialects, as well as its use on social media, is not an easy task. in this article we share our findings along the way.
The model is built using Fast.ai and contains some tips about data preprocessing and model training that might be useful to all languages not only Arabic.
Please let me know if you have any questions about the article, linked below: