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MDVR9980 / Golestan-Clustering

🌹 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.

nlp machine-learning text-mining clustering scikit-learn python3 tf-idf lsa persian-language unsupervised-learning dbscan kmeans-clustering hazm saadi-poems classical-literature

Updated Dec 18, 2025
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MDVR9980 / telegram-sentiment-analysis-fa

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🇮🇷 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).

python nlp sentiment-analysis iran persian-language time-series-analysis telethon social-media-analysis cultural-analytics hazm farsi-nlp llm-inference ollama telegram-scraper2025 gemma-3n

Updated Dec 16, 2025
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irLinja / twitter-word-cloud

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Your Farsi twitter word cloud here.

twitter pandas python3 twint hazm

Updated Mar 9, 2020
Python

mohamad-dehghani / tutorial

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کدهای مربوط به مقالات آموزشی

preprocessor persian preprocessing farsi hazm parsivar

Updated Mar 19, 2023
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MohammadrezaAmani / HamSpam

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

python nlp machine-learning numpy pandas nltk hazm sickit-learn

Updated Nov 16, 2023
Python

mohammadaminabbasi / Darkflow-NLP-Persian-Music-Recommendation-on-Lyrics

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

python music nlp persian recommendation lyric stanza radiojavan hazm

Updated Sep 13, 2021
Python

🤖 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.

python nlp machine-learning natural-language-processing deep-learning offline tensorflow chatbot keras artificial-intelligence dataset nltk persian persian-nlp bilingual bilstm hazm intent-recognition persian-dataset

Updated Aug 17, 2026
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aminkhod / PersainTextClusteringWithHazm

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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.

text-mining clustering genetic-algorithm nlp-machine-learning kmeans-clustering persian-nlp birch hazm

Updated Apr 11, 2020
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khalid-hussain / morals-and-behaviour

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

behavior book behaviour islam kitab morals hazm ibn akhlaq siyar andalus

Updated Sep 23, 2020
Makefile

sara-kaveh / snappfood-reviews-sentiment-analysis

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

python nlp natural-language-processing deep-learning sentiment-analysis tensorflow keras artificial-intelligence persian-language persian-nlp bilstm hazm

Updated Aug 14, 2026
Python

ashkanmradi / Lexicon-based-persian-sentiment-analysis

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Simple lexicon-based persian sentiment analysis

nlp sentiment-analysis confusion-matrix persian-nlp persian-stemmer tokenization stemming lexiconbasedapproach hazm lexicon-based

Updated Jun 17, 2024
Python

mohadesehjm / Preprocess_and_Clustering_on_news_datasets

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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.

python word2vec data-visualisation bag-of-words fasttext k-means-clustering hazm

Updated Jan 12, 2022
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negarhonarvar / Persian-NLP

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Persian Language Processing

pytorch cv2 morphological-analysis normalization fitz hazm tocken arabic-reshaper pytesseract-ocr pdfplumber parsivar minimal-set py-pdf effective-units

Updated Mar 12, 2025
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Fatemerjn / persian-telegram-news-nlp-

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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.