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

ParsBERT is a Transformer-based Model for Persian Language Understanding . It aims to classify text, such as comments, 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 . You can download the dataset from here . The following table summarizes the F1 score obtained by the model as compared to other models and architectures: ParsBERT v2.0.1 on the new Persian corpora in order to provide some functionalities for using ParsBerT in other scopes . The model is based on the content of,