HooshvareLab/bert-fa-base-uncased-sentiment-digikala

ParsBERT is a Transformer-based Model for Persian Language Understanding . It aims to classify text based on their emotional bias . We tested three well-known datasets for this task: Digikala user comments, SnappFood user comments and DeepSentiPers in two binary-form and multi-form types . The following table summarizes the F1 score obtained by parsBERT as compared to other models and architectures . You can download the dataset from here to download the results . Please cite in publications as the following: ParsBERT: title="ParsberT: Transformer Based Model for Persian Language Understanding," citing mehrdad,