Implementing VADER, RoBERTa and TextCNN on a twitter dataset from Kaggle

A library of tensorflow text classifiers, making it easy to flexibly reuse classifiers without rewriting a bunch of code

pytorch learning eamples

TextCNN, TextRNN, FastText, TextRCNN, BiLSTM Attention, DPCNN and Transformer in Pytorch framework

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Machine Learning Practical 2017/18, lectured by Prof. Steve Renals

Convolutional Neural Network for Text Classification in Tensorflow

TextClassification using textCNNs including single and multi-channel variants

BS Project Work for IISERB-Spring'22

java is used to load the onnx format model of textcnn

Assignment of Introduction to Artificial Intelligence

In this report, we focus on the Kaggle competition Natural Language Processing with Disaster Tweets, whose objective is to distinguish the real disaster tweets from others. An attempt is made to acquire the word embedding vectors by applying word2vec structure, the vectors are then classified into two labels using Bi-LSTM, TextCNN and fine-tuned…

对抗测试

models for text classification by tensorflow and pytorch

利用TextCNN对Twitter-Sentiment-Analysis数据进行情绪分类

textCNN for long-text classification 文本分类

All kinds of neural text classifiers implemented by Keras

新闻短文本分类，可以在此基础上进一步完善实现其他短文本分类任务，欢迎fork 和 star。

This is my repository and all the code needed to complete my Bachelor thesis on the detection of toxic comments.

基于TextCNN和TorchText的中文文本分类