| 基于特征词的农作物文本的句子聚类 |
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| 引用本文： | 菅小艳.基于特征词的农作物文本的句子聚类[J].太原师范学院学报(自然科学版),2008,7(1):77-79. |
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| 作者姓名： | 菅小艳 |
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| 作者单位： | 太原师范学院,计算机系,山西,太原,030012 |
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| 摘 要： | 聚类算法在中文信息处理领域有着广泛的应用.文章采用农作物种子信息文本,旨在通过将语料中的句子聚类,从而抽取种植农作物的有用信息.文章采用特征词的方法,利用特征词将句子聚类,通过实验达到了比较满意的效果.
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| 关 键 词： | 聚类 K-means 贝叶斯 特征词 |
Sentence Clustering of Farm Crops Based on Feature Words |
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| Jian Xiaoyan.Sentence Clustering of Farm Crops Based on Feature Words[J].Journal of Taiyuan Normal University:Natural Science Edition,2008,7(1):77-79. |
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| Authors: | Jian Xiaoyan |
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| Institution: | Jian Xiaoyan(Department of Computer,Taiyuan Normal University,Taiyuan 030012,China) |
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| Abstract: | The clustering computing has been widely used in Chinese information processing.There used the farm crop seeds information text,and we can extract useful information by sentences clustering.We proposed a clustering computing based on feature words.In the test of clustering,the result is satisfiable. |
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| Keywords: | K-means |
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