学习笔记(3):自然语言处理--词向量视频教学(word embedding)-项目实战之GrobalParament模块编写

    科技2025-04-21  6

    立即学习:https://edu.csdn.net/course/play/9460/199583?utm_source=blogtoedu

    # GrobalParament

    encoding = "utf-8" #编码设置

    stop_word_dir = "data/stop_words.txt"

    train_set_dir = "data/train.csv" # 训练文件

    train_after_process_text_dir = "data/train_after_process.csv" # 训练后输出的文件

    test_set_dir = "data/test.csv" # 测试文件

    test_after_process_text_dir = "data/test_after_process.csv" # 测试后输出的文件

    model_output_path = "model/word2ver_news.model" # 输出路径

    train_size = 150 # 训练大小

    train_window = 5 # 训练窗口

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