Persian Sentiment [Digikala, SnappFood, DeepSentiPers]. It aims to classify text, such as comments, based on their emotional bias. We tested three well-known ...

The model HooshvareLab bert fa base-uncased-sentiment-snappfood is a Natural Language Processing (NLP) Model implemented in Transformer library, generally using ...

ParsBERT is a monolingual language model based on Google's BERT architecture. This model is pre-trained on large Persian corpora with various writing styles ...

Metatext is a platform that allows you to build, train and deploy NLP models in minutes.

ParsBERT is a monolingual language model based on Google's BERT architecture. This model is pre-trained on large Persian corpora with various writing styles ...

Guide to running Bert Fa Base Uncased Sentiment Snappfood by HooshvareLab on HuggingFace. Overview, text-classification alternatives, schema, use cases, ...

Evaluation. ParsBERT is evaluated on three NLP downstream tasks: Sentiment Analysis (SA), Text Classification, and Named Entity Recognition (NER). For this ...

Sep 12, 2020 · I'm going to demonstrate the entire steps regarding one of our models base-uncased-sentiment-snappfood the procedure is as follow: Load the ...