hehuihui1994 / EA
情绪原因识别、情绪分类、情绪词典构建
☆70Updated 6 years ago
Alternatives and similar repositories for EA:
Users that are interested in EA are comparing it to the libraries listed below
- 细粒度用户评论情感分析☆123Updated 6 years ago
- 根据褒贬种子词,利用SO-PMI构建情感词典☆26Updated 9 years ago
- 参考NER,基于BERT的电商评论观点挖掘和情感分析☆41Updated 5 years ago
- 评论上的情感分析:主题与情感词抽取☆81Updated 4 years ago
- 一个BERT+BiLSTM的情感分析 BaseLine☆25Updated 4 years ago
- 细粒度的情感分析(属性词提取,句法依存分析)☆35Updated 2 years ago
- Dataset from 'Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction'☆43Updated 6 years ago
- Aspect Based Sentiment Analysis 基于方面的细粒度情感分析☆168Updated 2 years ago
- 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☆72Updated 6 years ago
- AI-Challenger Baseline 细粒度用户评论情感分析☆229Updated 6 years ago
- Pytorch implementation of "Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction", ACML2018☆60Updated 9 months ago
- 基于ltp的简单评论观点抽取模块☆116Updated 6 years ago
- 互联网新闻情感分析赛题baseline☆42Updated 5 years ago
- 在bert模型的pre_training基础上进行text_cnn文本分类☆78Updated 5 years ago
- Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective, 基于情感种子词与so-pmi…☆87Updated 7 years ago
- 之江-电商评论观点挖掘的比赛,基于pytorch-transformers版本,暂时只实现了BERT做aspect+opinion+属性分类+情感极性的联合标注,还未加上CRF。☆32Updated 5 years ago
- 利用bert预训练模型生成句向量或词向量☆27Updated 4 years ago
- SMP 2020年微博情感分类评测任务 第六名解决方案☆69Updated 2 years ago
- NLP Predtrained Embeddings, Models and Datasets Collections(NLP_PEMDC). The collection will keep updating.☆64Updated 5 years ago
- AI Challenger 2018 细粒度用户评论情感分析,排名17th,基于Aspect Level 思路的解决方案☆328Updated 6 years ago
- 嵌入Word2vec词向量的RNN+ATTENTION中文文本分类☆151Updated 4 years ago
- 该库是一个项目集,包括文本分类、多标签分类、细粒度情感分析、命名实体识别,以及部分数据集等☆201Updated 6 years ago
- 多标签文本分类☆54Updated 5 years ago
- 基于bert的中文自然语言处理工具,包括情感分析、中文分词、词性标注、以及命名实体识别功能,并提供文本分类任务、序列标注任务、句对关系判断任务的训练与预测接口☆132Updated 6 years ago
- BERT-BiLSTM-CRF的Keras版实现☆40Updated 5 years ago
- Bert中文文本分类☆40Updated 6 years ago
- 使用Python进行自 然语言处理相关实践,如新词发现,主题模型,隐马尔模型词性标注,Word2Vec,情感分析☆51Updated 5 years ago
- 两层attention 的lstm评论情感分析☆22Updated 7 years ago
- 本项目的数据来自“互联网新闻情感分析”赛题。基于Transformer2.0库中的中文Bert模型,对新闻语料进行三分类。☆110Updated 5 years ago
- 基于依存句法的句子级细粒度情感计算☆27Updated 8 years ago