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text-preprocessing-techniques

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akash18tripathi / MAGNET-Multi-Label-Text-Classi-cation-using-Attention-based-Graph-Neural-Network

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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.

text-classification cnn embeddings attention-mechanism bert hierarchical-models adjacency-matrix multilabel-classification glove-embeddings classifier-chains bilstm toxic-comment-classification graph-neural-networks bert-embeddings binary-relevance reuters-dataset onevsrestclassifier text-preprocessing-techniques
  • Updated Nov 2, 2023
  • Jupyter Notebook

5103691 / SMS-EmailSpamDetection

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In this project we implements a spam detection system using machine learning. It preprocesses SMS data, performs exploratory analysis, and trains various classifiers, including ensemble methods, to classify messages as spam or ham, ultimately saving the model for future use.

nlp machine-learning-algorithms artificial-intelligence spam-detection nlp-machine-learning machi text-preprocessing-techniques
  • Updated Oct 20, 2024
  • Jupyter Notebook

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