cnn-text-classification

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

Character-level Convolutional Neural Networks for text classification in PyTorch

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

Pytorch implementation of the paper Deep learning for extreme multi-label text classification

📚 Text classification library with Keras

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

A Chainer implementation of a Convolutional Network model for relation classification in the SemEval Task 8 dataset. This model performs Multi-Way Classification of Semantic Relations Between Pairs of Nominals in the SemEval 2010 task 8 dataset.

🎒 基于CNN实现的文本分类应用

pyTorch-text-classification

运用cnn + highway network网络结构中文文本分类

This repository contains Sentiment Classification, Word Level Text Generation, Character Level Text Generation and other important codes/notes on NLP. Python and Keras are used for implementation.

Deep Learning for Toxic Comment Classification

Text-based Geolocation Prediction of Social Media Users with Neural Networks

Repository of state of the art text/documentation classification algorithms in Pytorch.

PyTorch Sentence Classifier (CNN RNN)