HooshvareLab/bert-fa-base-uncased-sentiment-deepsentipers-binary

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 . The dataset contains 12,138 user opinions about digital products labeled with five different classes; two positives (i.e., happy and delighted), two negatives (i., furious and angry) and one neutral class . In the case of binary classification, the neutral class and its corresponding sentences are removed from the dataset . The following table summarizes the F1 score,