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Extracting subject and emotional words through e-commerce user evaluation.

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Emotional-fine-grained-analysis

Extracting subject and emotional words through e-commerce user evaluation.

model

LSTM+CRF

included:

字向量模型
word embedding——Location characteristics in words.
	Trie Tree is used to store emotional and keyword words.
	五进制编码 → 十进制编码 → one hot embedding.

Note:The code is keras version. Additionally, the tfVersion folder is the tensorflow version.

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Extracting subject and emotional words through e-commerce user evaluation.

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  • Python 64.6%
  • Jupyter Notebook 35.4%