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  1. SpeechEmotionAndPeopleAnalyse SpeechEmotionAndPeopleAnalyse Public

    用CASIA database数据集做的,做的语音情感识别和语音识人的练习

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  2. TextClassifierMLAndDLByBertOrFastnlpDemo TextClassifierMLAndDLByBertOrFastnlpDemo Public

    以京东评论作为数据集,使用常见的机器学习算法如KNN、SVM、逻辑回归、贝叶斯、xgboost等等算法进行分类。使用深度学习中的CNN、RNN、CNN和RNN连接、Bi-GRU、bert模型进行分类。使用fastnlp的框架搭建文本分类。

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  3. seq2seqForExample seq2seqForExample Public

    采用三种方式 (1)利用keras库搭建seq2seq (2)利用keras_transformer库 (3)利用fastnlp框架 实现问答机器人、机器翻译、文本摘要等功能

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  4. matchzooExample- matchzooExample- Public

    利用matchzoo框架搭建常见的文本匹配/文本相似度模型,我们搭建了11套文本匹配模型,作为新框架的雏形,师弟的github地址是github.com/Rodgers1995

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  5. fastnlpweiboMultClassDemo fastnlpweiboMultClassDemo Public

    微博情感分析多分类数据集fastnlpDemo测试

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  6. chinese_text_match_By_all_pattern chinese_text_match_By_all_pattern Public

    使用各种模型结构,例如textCNN、textRNN、Transformer、CNN+RNN、Bi-LSTM的文本匹配源码项目

    Jupyter Notebook 7 2