Researchers introduced Exa-PSD, a new Persian sentiment analysis dataset containing 12,000 annotated tweets from Twitter, addressing the need for comprehensive datasets in Persian NLP. The dataset's evaluation using pre-trained models achieved a Macro F-score of 79.87, highlighting its potential value for improving sentiment analysis systems.
Read the full article at arXiv cs.CL (NLP)
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Ali NematiWritten by Ali
