针对手机评论数据的情感挖掘与分析项目，基于依存句法分析和情感词库提取特征词，并对特征词做情感极性预测标注。
工程不包含jar包，需要的jar包在lib文件夹下的jarFile中有说明。 testFile中test.sample是测试文件，testResult.txt是预测结果文件。
1.输入文本内容，判断从文本中读入的每行内容，若句子为空或者句子格式错误，则抛出异常。格式为：句子ID\t句子内容。
2.对句子内容做分词处理。使用jieba（开源）分词工具，jieba分词时可以依赖用户词典，这样分词时会根据用户自定义的词语组合来分词，用户词典为.dict文件。
3.对分好的词做词性标注和依存句法分析。使用Stanford-parser开源工具包。
4.抽取符合条件的特征词。
5.特征词极性标注。输出结果，格式为：句子ID\t特征词\t极性。
您好，请问在最后输出信息中如何把对应的主观评论句也输出呢？能不能加一个qq，还有别的问题向您请教
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