text-categorization

all kinds of baseline models for long text classificaiton( text categorization)

Papers and Book to look at when starting NLP 📚

ConText v4: Neural networks for text categorization

Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization

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.

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

PyTorch repository for text categorization and NER experiments in Turkish and English.

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

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

A language detection software

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

Unsupervised categorization of customer reviews into aspect categories using Personalized Page Rank

This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.

Jopara (Guarani-dominant mixed with Spanish) sentiment analysis corpus

Language Categorization library for Java

Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.

Text categorization for Disaster Response using NLP model

Text Categorization Basics

This Master´s Degree Thesis focuses on the application of Machine and Deep Learning algorithms to analyse and extract the value of texts and the search for hidden patterns from the European University research project called "Applications based on IoT and Big Data in the hospital environment".

Greek newspaper article categorization using NLP.

Train JOSA (Jopara Sentiment Analysis) corpus with traditional machine learning algorithms.

NLP implementations like information-theoretic measures of distributional similarity, text preprocessing using shell commands, Naive Bayes text categorization model, Cocke-Younger-Kasami parsing.

Improve Text Categorization using k-Medoids Clustering Feature Selection

📝 n-gram based text categorization written in php

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.

A simple Rocchio-tfidf text categorizer

Text Categorization with Vector Space Models

Fintech Hiring Trends in the Largest U.S. Banks Analysis