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基于统计的文本分析中,最为常用的最大熵算法,可直接调用,广泛用于词性标注,词义消岐等-based on statistical analysis of the text, the most commonly used of maximum entropy algorithm, can be called directly, widely used in tagging, Words such as Consumers qi
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文本分析中基于统计的方法中,最为常用的最大熵算法,该源码为Python版,广泛应用于词性标注,词义消岐等领域-text analysis based on statistical methods, the most commonly used of maximum entropy algorithm, the source code for Python version, widely used in tagging, Meaning Consumers divergent fields
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SVM(支持向量机）和EM（最大熵）文本分类算法，压缩包中包括了测试文本（环境类和计算机类），词典，停用词表等。-SVM (support vector machine) and EM (maximum entropy) text classification algorithm, compressed package includes test text (environmental and computer), dictionary, thesaurus, such as disabled.
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最大熵分类器，实现对文本的分类，很好的机器学习算法。-Maximum Entropy classifier, the realization of the text classification, a good machine learning algorithm.
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JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker
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支持向量机和EM最大熵文本分类算法，压缩包中包括了测试文本词典，停用词表等-Support vector machines and EM maximum entropy text classification algorithm, compressed package includes a test text dictionary, stop word table
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使用最大熵模型进行中文文本分类，效率高,并且附有例子说明-Using Maximum Entropy Model for Chinese Text Categorization, high efficiency
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运用最大熵对一个文本中的类进行训练模型，然后可用模型进行预测，结果返回类名，是机器学习语言的重要部分，支持汉字分类-Use of maximum entropy of a text in class training model, the model can then be used to predict the results returned class name is an important part of machine learning languages, support for
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最大熵模型算法，用于统计学习，文本分类，文本聚类研究-The maximum entropy model algorithm for statistical learning, text classification, text clustering research
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