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allen-lzh's Projects

absa_aen_chinese icon absa_aen_chinese

ABSA(aspect based sentiment analysis): 90% accuracy, retrained AEN on Chinese social media data (CCF 2012).

asap icon asap

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction

bertmodel icon bertmodel

利用bert预训练模型生成句向量或词向量

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

classifier_multi_label_textcnn icon classifier_multi_label_textcnn

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

jd-comment_emotional-analysis icon jd-comment_emotional-analysis

京东评论情感分析模型,主要包括1、数据获取及探索性分析;2、文本预处理、文本分词、文本向量化、特征提取、

nlp_notes icon nlp_notes

自然语言处理学习笔记:机器学习及深度学习原理和示例,基于 Tensorflow 和 PyTorch 框架,Transformer、BERT、ALBERT等最新预训练模型及源代码详解,及基于预训练模型进行各种自然语言处理任务。模型部署

nlp_textclassifier icon nlp_textclassifier

基于word2vec预训练词向量; textCNN 模型 ;charCNN 模型 ;Bi-LSTM模型;Bi-LSTM + Attention 模型 ;Transformer 模型 ;ELMo 预训练模型 ;BERT 预训练模型的文本分类项目

python-for-data-mining icon python-for-data-mining

该资源为作者在CSDN的撰写Python数据挖掘和数据分析文章的支撑,主要是Python实现数据挖掘、机器学习、文本挖掘等算法代码实现,希望该资源对您有所帮助,一起加油。

sentiment_classification icon sentiment_classification

使用dnn、rnn、cnn(使用静态glove词向量)、cnn(glove词向量+动态训练词向量组成双通道)来实现句子的情感识别(积极、消极)

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