all kinds of baseline models for long text classificaiton( text categorization)
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Updated
Feb 20, 2019 - Python
all kinds of baseline models for long text classificaiton( text categorization)
Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization
Cybertron: the home planet of the Transformers in Go
Automatic categorization of documents, consists in assigning a category to a text based on the information it contains. We'll follow different approach of Supervised Machine Learning.
⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
ConText v4: Neural networks for text categorization
Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.
自然语言处理常见任务(主要包括文本分类,序列标注,自动问答等)解决方案试验田
PyTorch repository for text categorization and NER experiments in Turkish and English.
A language detection software
Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models
WideMLP for Text Classification
Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.
NLP implementations like information-theoretic measures of distributional similarity, text preprocessing using shell commands, Naive Bayes text categorization model, Cocke-Younger-Kasami parsing.
A simple example with naive bayes for text-categorization
Binary text categorization classifier which detects the presence of customer experience in a message. Trained with Twitter data. Tested with Twitter and Facebook data.
Greek newspaper article categorization using NLP.
Text categorization for Disaster Response using NLP model
Unsupervised categorization of customer reviews into aspect categories using Personalized Page Rank
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