🍊 📄 Text Mining add-on for Orange3

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

Qutuf (قُطُوْف): An Arabic Morphological analyzer and Part-Of-Speech tagger as an Expert System.

State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

Natural language toolkit for Indonesian Language (Bahasa)

Contains some basic primitive implementations of NLP concepts.

A small modification of the stemmer for the Ukrainian language (https://github.com/Amice13/ukr_stemmer)

Arabic Light stemming with Python

Plotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic visual interaction.

Implementation of Martin Porter's stemmer

A novel stemmer for the Ukrainian language trained with AI

Generated top-10 best matched FAQs and corresponding answers using NLP methods and features

A simple experiment with text summarization in Python

Simple lexicon-based persian sentiment analysis

Turkish Morphological Analyzer with dictionaries for stems and suffixes + Neural Morphological Disambiguation implemented in DyNet

Used NLP techniques (tokenization, stemming, vectorization for TF-IDF) and clustering algorithms (Kmeans and Hierarchical clustering) to mine the "similarities" between films based on their plots provided by IMBD and Wikipedia. The dataset contains the titles of the top 100 movies on IMDb.

Data for testing the Tibetan Lucene analyzers

Tokenization, Stemming, Lemmatization, Bag of words, TF-IDF

Finding similarity in Galaxy tools

Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents