第二，对切分结果进行停用词消除；
Second, we delete the stop-words from the segmentation result.
在筛选出的文本中，经过分词、去除停用词等处理后，选取二元词串作为特征；
In those texts, we select bigram as feature after Chinese word segmentation, deleting stop word and other process.
系统分为六个模块：（1）文本预处理模块，针对文档进行分词，停用词过滤；
This System is divided into six modules:(1)Text preprocessor, slicing the words in the document, filtering the stop-word;
进行高级汉字文本分词的功能模块，可以支持多种类型文本，支持停用词过滤。
Chinese text segmentation for advanced function modules that can support multiple types of text, support for stop words filtering.
通过对现有基于统计的停用词选取方法的考察，提出了一种新的停用词选取方法。
By investigating the methods of automatically selecting stop words based on statistical methods, a new method is proposed.
本文利用三种特征选择方法、两种权重计算方法、五种停用词表以及支持向量机分类器对汽车语料的文本情感类别进行了研究。
The experiment results indicate that the greater text sentiment classification impact depends on other corpus, excluded adjective, verb, adverb as stop words and none stop words.
本文利用三种特征选择方法、两种权重计算方法、五种停用词表以及支持向量机分类器对汽车语料的文本情感类别进行了研究。
The experiment results indicate that the greater text sentiment classification impact depends on other corpus, excluded adjective, verb, adverb as stop words and none stop words.
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