Flyweight data mining with R
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Updated
Apr 6, 2016 - R
Flyweight data mining with R
Simple document classifier using Apache Spark
NLP in python Vector Space Modelling and document classification NLP
K-Nearest Neighbor Text Categorization
TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
Document classification with Hierarchical Attention Networks in TensorFlow
Text Document Classification Using a Multinomial Naive Bayes Model
Natural language processing using different tools and models
Implementation of Complement Naive Bayes text classifier used for automatic categorisation of DaWanda products
Document classification using Latent semantic analysis in python
A simple comparison of pytorch and tensorlofw, using Facebook's fastText algorithm.
The purpose of this repository is to explore text classification methods in NLP with deep learning.
Machine Learning models for large datasets
This repository contains a Naive Bayes classifier implemented on document classification which is completed on CSCI 8360, Data Science Practicum at the University of Georgia, Spring 2018.
Scalable Document Classification by using Naive Bayes (NB). Built based on a classic tutorial of NB here: https://nlp.stanford.edu/IR-book/html/htmledition/naive-bayes-text-classification-1.html
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