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Description: 这里是用于特征提取时去除停用词的词表,很有用的.-here for feature extraction to remove the word out thesaurus, very useful.
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Size: 1658 |
Author: zzhang |
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Description: 这里是用于特征提取时去除停用词的词表,很有用的.-here for feature extraction to remove the word out thesaurus, very useful.
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Size: 1024 |
Author: zzhang |
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Description: 是关于中文文本切词的资料，排除了部分无意义的词-Chinese text on the segmentation of information, rule out the possibility of some meaningless words
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Size: 2048 |
Author: xj |
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Description: create stopword removal using stoplist file
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Size: 1024 |
Author: Manoj |
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Description: A English Stop word class. It helps to check whether your word is stopword or not.
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Size: 2048 |
Author: hopebt |
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Description: 用以搜尋文章keyword
內裡包含preprocessing, stopword steaming-Keyword used to search for articles inside include preprocessing, stopword steaming, etc.
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Size: 6144 |
Author: Kitty Tang |
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Description: 停止词表 比较全 包含中文和标点等
停止词表 比较全 包含中文和标点等
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Size: 2048 |
Author: 肖 |
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Description: Teks processing for process text document,
Stopword removal, stemming, detagging
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Size: 9063424 |
Author: Ryo |
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Description: java中对英文分词后，去词干后进行词频统计的代码-stastic the frequency of english words after steming and looking up stopword list
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Size: 4096 |
Author: 陈冬 |
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Description: 在文本进行分类聚类之前，必须对文本进行预处理。预处理的第一步是分词，这中间需要去除停用词。这个文件就是停用词列表-Must preprocess the text before the text classification clustering. The first step in preprocessing is the word, the middle need to remove the stop words. This file is the stop word list
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Size: 2048 |
Author: 吴志媛 |
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Description: Mapfre it a form denuncian for accident in laboral activity
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Size: 63488 |
Author: Nahuel |
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Description: 在文本处理过程中，要对文本进行预处理，其中区停用词是一项任务。本代码实现了其中的任务。-In the text processing, pre-treatment to the text, including stop words is a task area. This code implements one of the tasks.
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Size: 1024 |
Author: 林桂 |
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Description: 1-The Cranfield collection is a standard IR text collection(included in this directory)., consisting of 1400 documents the aerodynamics field.Write a program that preprocesses the collection.Determine the frequency of occurence for all the words in this collection. Integrate the Porter stemmer and a stopword eliminator into your code.
2- For weighting, use the TF/IDF weighting scheme.For each of the ten queries provided on the class webpage, determine a ranked list of documents, in descending order of their similarity with the query.
3- I will have to implement an efficient and effective spam filter (a text Classifier).
-1-The Cranfield collection is a standard IR text collection(included in this directory)., consisting of 1400 documents the aerodynamics field.Write a program that preprocesses the collection.Determine the frequency of occurence for all the words in this collection. Integrate the Porter stemmer and a stopword eliminator into your code.
2- For weighting, use the TF/IDF weighting scheme.For each of the ten queries provided on the class webpage, determine a ranked list of documents, in descending order of their similarity with the query.
3- I will have to implement an efficient and effective spam filter (a text Classifier).
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Size: 1922048 |
Author: hajar |
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Description: In this code how stop words are removed are shown and after removing stop words documents are displaying
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Size: 1024 |
Author: pinki |
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Description: 最全的IKAnalyz 的中文停止词集，使用时需要简单配置IKAnalyzer.cfg.xml，
<!--用户可以在这里配置自己的扩展停止词字典-->
<entry key="ext_stopwords">stopword.dic;chinese_stopword.dic;</entry>(The most complete IKAnalyz Chinese stop word set, before using ushould configure IKAnalyzer.cfg.xml as below,
<! -- users can configure their own extensions here stop word dictionary -- >
<entry key= "ext_stopwords" >stopword.dic; chinese_stopword.dic; </entry>)
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Size: 10240 |
Author: SuperXuyuey
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Description: 最全的IKAnalyz 的英文停止词集，使用时需要简单配置IKAnalyzer.cfg.xml，
<!--用户可以在这里配置自己的扩展停止词字典-->
<entry key="ext_stopwords">stopword.dic;english_stopword.dic;</entry>(The most complete IKAnalyz English stop word set, the use of simple configuration IKAnalyzer.cfg.xml,
<! -- users can configure their own extensions here stop word dictionary -- >
<entry key= "ext_stopwords" >stopword.dic; english_stopword.dic; </entry>)
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Size: 2048 |
Author: SuperXuyuey
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