多标签文本分类，多标签分类，文本分类, multi-label, classifier, text classification, BERT, seq2seq，attention, multi-label-classification

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。

Simple embedding based text classifier inspired by fastText, implemented in tensorflow

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

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

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Custom Text Classifier

Deep-Attention Text Classifier in Tensorflow

Python package for detecting informal Persian text using regular expressions and rule-based methods

Text classification with Machine Learning and Mealpy

Text Classifier for Twitter data

基于sklearn的文本分类器 Text classifier based on sklearn

Implementation of sentence classification in Python using NaiveBayes, KNN and SVM classifiers in Python

Text classification of posts & contents created by followers of two celebrity in Twitter (code+data+slides)

Custom classifier and named entity recognition models using Python for use with scheduling and events

A Facebook chatbot that classifies texts using chat history