mosu027 / TextClassification
TextClassification with tfidf、word2vec、tex_cnn、basiclstm, dcnn,char_cnn.....
☆18Updated 7 years ago
Alternatives and similar repositories for TextClassification:
Users that are interested in TextClassification are comparing it to the libraries listed below
- ☆39Updated 7 years ago
- 使用word2vec进行中文词向量的 训练☆90Updated 6 years ago
- textsum for Chinese☆16Updated 6 years ago
- 基于bert的ner,使用bilstm+crf☆32Updated 3 years ago
- seq2seq+attention model for Chinese textsum☆41Updated 6 years ago
- 细粒度情感分析repository2:细粒度情感分析接口,aspect-based sentiment analysis based on HMM.☆45Updated 8 years ago
- ☆56Updated 7 years ago
- AI Challenger 2018 细粒度用户评论情感分析比赛 个人baseline项目☆13Updated 6 years ago
- 关于文本分类的许多方法,主要涉及到TextCNN,TextRNN, LEAM, Transformer,Attention, fasttext, HAN等☆74Updated 6 years ago
- 基于句法分析的命名实体关系抽取程序☆65Updated 8 years ago
- paper reading☆21Updated 6 years ago
- 使用分层注意力机制 HAN + 多任务学习 解决 AI Challenger 细粒度用户评论情感分析 。https://challenger.ai/competition/fsauor2018☆58Updated 5 years ago
- Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Network复现☆21Updated 6 years ago
- Improvement of RAKE Algorithm (Rapid Automatic keyword extraction)☆35Updated 7 years ago
- ☆121Updated 7 years ago
- 微信广告正负样本短文本分类 word2vec+CNN实现☆26Updated 6 years ago
- use ELMo in chinese environment☆104Updated 6 years ago
- Tensorflow+bilstm+attention+multi label text classify☆121Updated 6 years ago
- 评论上的情感分析:主题与情感词抽取☆81Updated 4 years ago
- A tensorflow implementation of siamese lstm.☆89Updated 7 years ago
- This model base on bert-as-service. Model structure : bert-embedding bilstm crf.☆37Updated 6 years ago
- ☆49Updated 7 years ago
- 针对百度知道电影问答数据的问题分类 question classification for zhidao.baidu.com in movie domain☆24Updated 7 years ago
- AI Challenger 2018 Sentiment Analysis Baseline with fastText☆151Updated 6 years ago
- 个人代码/项目仓库(具体请看子目录下的README.md)。自取请注明出处,尊重原创,O(∩_∩)O谢谢☆45Updated 6 years ago
- 关键词抽取,神策杯2018高校算法大师赛比赛,solo 排名3/591☆65Updated 6 years ago
- 大连理工大学信息检索研究室2017深度学习实践培训内容☆41Updated 7 years ago
- BDCI2017-让AI当法官,决赛第四(4/415)https://www.datafountain.cn/competitions/277/details☆117Updated 7 years ago
- CSDN博客的关键词提取算法,融合TF,IDF,词性,位置等多特征。该项目用于参加2017 SMP用户画像测评,排名第四,在验证集中精度为59.9%,在最终集中精度为58.7%。启发式的方法,通用性强。☆30Updated 7 years ago
- BiLSTM_CRF中文实体命名识别☆47Updated 7 years ago