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bert_sarcasm_classification

基于BERT+feature exact的方法识别汉语讽刺文本

bilstm_crf_seg

Use lstm and crf in keras to achieve Chinese word segement

chinese-text-classification-pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

crawltencentnewscomments

爬取腾讯新闻首页所有新闻及其评论

creditforcast

基于多高维特征数据和表现数据对客户信用风险进行建模

easy_rnn_attention

RNN+attention 中文文本分类

emo_classify

use SVM in sklearn to achieve text emotion classifying

evaluation-in-literary

文学作品量化评估课程的作业

gan_poem_generate

Extend projects of NLP courese which achieve generating Chinese poems by GAN model

how-to-prove-it

lausentinet

集成各种神经网络进行情感分类，包括CNN、LSTM、Transformer以及BERT等网络模型

machine-learning-in-action

《机器学习实战》代码注释

skipgram

SkipGram model implemented in Tensorflow and PyTorch

speech_recognition

中文语音识别

spider_mysmth

scrapy框架实现的爬虫，爬取水木清华社区指定板块话题及评论

text-classification

新闻上的文本分类：机器学习大乱斗

tf_imdb

yelp_2013_reviews

This repo is a Natural Language Processing assignment for the Udemy course, "Python for Data Science and Machine Learning." The dataset is a detailed dump of yelp reviews. businesses, users, and checkins for the Phoenix, AZ metro area. The goal here is to use Natural Language Processing to predict whether a user's written review is rated one star or 5 stars.