文件名称:SentimentClassification
介绍说明--下载内容均来自于网络,请自行研究使用
任务描述:本实验要求对文本的情感态度进行二元分类(P/N)。这首先要求通过读入训
练数据并学习来建立一个文本模型,然后通过这一模型来判断测试文本的情感态度,并且与
所持有的标签进行对比,从而得到对该模型的评价。-Task Descr iption: This experiment requires emotional attitude text will be binary classification (P/N). This requires training data by reading and learning to create a text model, and then to determine the emotional attitude test text through this model and compare labels and held to obtain the uation of the model.
练数据并学习来建立一个文本模型,然后通过这一模型来判断测试文本的情感态度,并且与
所持有的标签进行对比,从而得到对该模型的评价。-Task Descr iption: This experiment requires emotional attitude text will be binary classification (P/N). This requires training data by reading and learning to create a text model, and then to determine the emotional attitude test text through this model and compare labels and held to obtain the uation of the model.
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下载文件列表
SentimentClassification
.......................\.classpath
.......................\.project
.......................\.settings
.......................\.........\org.eclipse.jdt.core.prefs
.......................\bin
.......................\...\sc
.......................\...\..\DocumentModel.class
.......................\...\..\SentimentClassification.class
.......................\...\..\Term.class
.......................\IKAnalyzer.cfg.xml
.......................\input
.......................\.....\test2
.......................\.....\test2.rlabelclass
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