🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
A well-structured summarization dataset for the Persian language!
A Bert2Bert model which able to summarize articles!
🤗 ParsBERT Persian NER Tasks
ALBERT Persian Playground
This is an NLP project, where I am attempting to detect sarcasm in social networks in Persian language.
Identify if each of the words in a Persian sentence need a kasr-e-ezafeh tag or not.
In this project, we attempted to analyze users' sentiments on Twitter. For this purpose, we utilized the parsBERT model
This repository contains the code and resources for the Natural Language Processing (NLP) course assignments. The assignments focuses on implementing various NLP techniques and algorithms to solve a range of language processing tasks.
A sentiment analysis project that uses the ParsBERT model to classify the sentiment of text data from Digikala comments Persian dataset.
Source codes and materials of Advanced Spelling Error Correction project.
This repo applies sentiment analysis on Persian text using the ArmanEmo dataset. Various transformer models, including ParsBert and XLM-RoBERTa, were tested to classify emotions. The persian_xlm_roberta_large model achieved the best accuracy. Preprocessing included text normalization and cleaning, with the use of modern NLP techniques for SA in fa.
Binary text classification on Persian textual data set ( review, tweet, etc. )
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