Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

Improving Document Classification with Multi-Sense Embeddings Source Code (ECAI 2020)

Multiclass and Binary Classification of Reuters News Articles

3 Case study based on CNN using Keras deep learning.

In this repository, an example of natural language processing (NLP) for document classification is performed using a support vector machine (SVM) model.

Document Retrieval System / Simple Text Retrieval System, for the Reuters-21578 dataset [SGM -> XML -> Text File]

This is an experiment on text classification using different supervised learning classifiers and their variants conducted on the Reuters-21578 dataset. The aim is to evaluate the best performance for each of the classifiers by properly tuning the parameters of each classifier so that the least error is recorded during the classification.

Machine Learning end-of-term project - SVM classifier on large datasets compared to other methods

Hand Crafted Based Text Classification on Reuters Data