🤗 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
Persian spelling correction based on Parsbert
ALBERT Persian Playground
A sentiment analysis project for Persian-language SnappFood reviews using Transformer models (ParsBERT), traditional machine learning methods, and deep learning architectures (RNN, LSTM, GRU). Includes an interactive UI built with Streamlit for review prediction.
This is an NLP project, where I am attempting to detect sarcasm in social networks in Persian language.
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.
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
Corpus building and NLP analysis for Persian Telegram channel messages. Includes a notebook to parse and clean channel_messages.json, stopword normalization, word cloud with a silhouette mask, and CSV outputs (filtered_messages.csv, final_results.csv). Reproducible pipeline for EDA and basic modeling.
an IR engine that uses sentence embedding instead of tf-idf vectorization
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.
Binary text classification on Persian textual data set ( review, tweet, etc. )
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