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sentiment

关于个人

  1. https://github.com/EliasCai/sentiment 代码持续更新,欢迎大家关注,希望有所帮助,共同提升
  2. 个人介绍:工作从事大数据开发,熟悉机器学习和深度学习的使用
  3. 比赛经验:曾参加场景分类(AiChallenger)、口碑商家客流量预测(天池)、用户贷款风险预测(DataCastle)、摩拜算法天战赛(biendata)等,
  4. 寻找队友冲击前排,希望不吝收留

关于代码

  1. 版本:v1.1
  2. 环境:python3; tensorflow-1.0.0; keras-2.0.6
  3. 邮箱:elias8888#qq.com
  4. 使用:将data文件夹中的三个csv文件放到py文件同个文件夹下面即可运行
  5. Finish:
    • 使用jieba进行分词,并用LSTM对第一个情感关键词进行预测,10轮epochs后验证样本的准确率为0.70
  6. Todo:
    • 将情感关键词添加到jieba的字典里
    • 将第2、3个关键词添加到样本,将预测的概率大于阈值的位置作为情感关键词输出
    • 完成主题和情感正负面的分析
    • 完善LSTM的网络
    • 试试CNN的效果

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