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Use Chinese natural language processing library to preprocess the novels and then train the word2vec model and calculate the similarity.

C++ 23.06% Python 76.94%
nlp word2vec nlpir

chinease-keyword-similarity's Introduction

  1. Use chinease natual language processing library NLPIR-ICTCLAS to do the work like Chinease word segmentation and part-of-speech tagging.
  2. Preprocessing.
  3. Use word2vec gensim to train the model and caculate the similarity.

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