Machine learning model for analyzing sentiment in Somali social media and text content.
Our Sentiment Analysis Tool allows organizations to understand the voice of the Somali public. By analyzing text from social media, news comments, and customer feedback, the tool can identify polarized opinions and tracking shifts in public sentiment over time.
This project uses advanced deep learning models capable of understanding sarcasm and regional nuances in Somali expression. It is an invaluable resource for policymakers, NGOs, and businesses looking to better engage with their Somali-speaking audiences.
Tags
NLPSentiment AnalysisSocial Media
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