43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# -*- coding: UTF-8 -*-
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# !/usr/bin/python
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# @time :2019/4/3 11:23
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# @author :Mo
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# @function :path
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import pathlib
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import sys
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import os
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# base dir
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projectdir = str(pathlib.Path(os.path.abspath(__file__)).parent.parent)
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sys.path.append(projectdir)
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print(projectdir)
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# corpus
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chicken_and_gossip_path = projectdir + '/Data/corpus/chicken_and_gossip.txt'
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# word2vec
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w2v_model_merge_short_path = projectdir + "/Data/chinese_vector/w2v_model_merge_short.vec"
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# tf_idf
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td_idf_cut_path = projectdir + '/Data/tf_idf/td_idf_cut.csv'
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td_idf_cut_pinyin = projectdir + '/Data/tf_idf/td_idf_cut_pinyin.csv'
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td_idf_path_pinyin = projectdir + '/Data/tf_idf/td_idf_cut_pinyin_dictionary_model.pkl'
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td_idf_path = projectdir + '/Data/tf_idf/td_idf_cut_dictionary_model.pkl'
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# word, 句向量
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w2v_model_wiki_word_path = projectdir + '/Data/chinese_vector/w2v_model_wiki_word.vec'
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matrix_ques_part_path = projectdir + '/Data/sentence_vec_encode_word/1.txt'
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# char, 句向量
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w2v_model_char_path = projectdir + '/Data/chinese_vector/w2v_model_wiki_char.vec'
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matrix_ques_part_path_char = projectdir + '/Data/sentence_vec_encode_char/1.txt'
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# word2vec select
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word2_vec_path = w2v_model_wiki_word_path if os.path.exists(w2v_model_wiki_word_path) else w2v_model_merge_short_path
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# stanford_corenlp_full_path，需要自己下载配置stanford-corenlp-full-2018-10-05
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stanford_corenlp_full_path = "Y:/segment/stanford-corenlp-full-2018-10-05"
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