Topic Generation 话题发现 趋势发现 热点发现

NLP
NLU
pyjom
text classification
topic discovery
The text provides resources for generating topics, discovering trends, and detecting new words using tools like BERT documentation, Chinese segment augmentation Github repositories, and a Naive Bayes classifier.
Published

July 13, 2022

Topic Generation 话题发现 趋势发现 热点发现 文本分类

bert documentation

https://github.com/MaartenGr/BERTopic

新词发现（可用于挖掘热点 热词 蓝海词）

https://github.com/zhanzecheng/Chinese_segment_augment

https://github.com/bojone/word-discovery

https://github.com/blmoistawinde/HarvestText

文本分类 文本匹配 文本检索

https://github.com/lining0806/Naive-Bayes-Classifier

https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch

https://github.com/gaussic/text-classification-cnn-rnn

https://github.com/yongzhuo/Keras-TextClassification

https://github.com/youthpasses/bayes_classifier

https://github.com/Roshanson/TextInfoExp

https://github.com/aceimnorstuvwxz/toutiao-multilevel-text-classfication-dataset

https://github.com/CementMaker/cnn_lstm_for_text_classify

https://github.com/hellonlp/classifier_multi_label_textcnn

https://github.com/cjymz886/text-cnn

https://github.com/terrifyzhao/bert-utils

https://github.com/649453932/Chinese-Text-Classification-Pytorch

https://github.com/HappyShadowWalker/ChineseTextClassify

https://github.com/XqFeng-Josie/TextCNN

https://github.com/tensorlayer/text-antispam

https://github.com/MachineLP/TextMatch