hazm

Your Farsi twitter word cloud here.

کدهای مربوط به مقالات آموزشی

persian Ham Spam detector with python, hazm, nltk and nlp.

🌹 Unsupervised Semantic Clustering of Saadi's Golestan. A Persian NLP project comparing K-Means & DBSCAN algorithms to regroup anecdotes based on semantic similarity using TF-IDF & LSA.

🇮🇷 5-Year Historical Sentiment Analysis of Persian Telegram (~1M posts) using Google Gemma 3 (27B) via Ollama. A deep NLP study on public mood, sarcasm, and cultural nuances (1399–1404 SH).

unsupervised process of identifying topics in a set of persian songs by LDA method of topic modelling

🤖 Tajan – An intelligent bilingual (Persian/English) intent recognition chatbot powered by BiLSTM deep learning. Features: offline Persian/English lemmatizer, smart data augmentation (1.8x), GUI interface, and 419 intent classes with ~66% accuracy. Fully customizable, open-source, and runs without internet. Built with TensorFlow, Hazm, and NLTK.

I use Request Psychological Advice texts in Persian. I clean data and prepare it with the Hazm project. Then cluster them by using Genetic_Kmeans Algorithm and compare results with normal Kmeans and Birch Algorithms.

Markdown source for Ibn Ḥazm's Kitāb al-Akhlāq wa Siyar.

Simple lexicon-based persian sentiment analysis

Persian SnappFood Reviews Sentiment Analysis using TensorFlow, Keras, Hazm, and BiLSTM networks.

In this project, first I start to visualize data in 3 groups to understand better data set, which locate on data_visualization. Second I use hazm library for text processing in Persian data sets on DataCleaning file. Finally, I implement the k-means algorithm for clustering.

Persian Language Processing

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.

Assignment #2 - NLP course Spring 2024 - Sharif University

University NLP coursework and practice notebooks covering English and Persian text processing, vectorization, embeddings, and machine learning.

A project implementing and comparing from-scratch RNN (GRU) and Transformer models for next-word prediction on a Persian Wikipedia dataset.