基于情感词典和朴素贝叶斯算法实现中文文本情感分类
#说明
程序分为两部分
Sentiment.java为训练模型
Sentiment_Test.java为文本分类
500trainblogxml为训练语料(样例)
Sentiment_Dictionary为台湾大学情感词典，在训练模型时进行情感词筛选用到
模型训练结果保存在NegativeModel.txt PositiveModel.txt UnsureModel.txt
文本分类程序在初始会读取模型, 依据朴素贝叶斯算法进行文本分类
Glacier759/Sentiment
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基于情感词典和朴素贝叶斯算法实现中文文本情感分类
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