| 一种虚拟社区话题相关性算法的研究 |
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| 引用本文： | 李梅,阚峻岭,汪贵生. 一种虚拟社区话题相关性算法的研究[J]. 铜陵财经专科学校学报, 2011, 0(1): 89-90 |
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| 作者姓名： | 李梅 阚峻岭 汪贵生 |
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| 作者单位： | [1]安徽中医学院,安徽合肥230031 [2]铜陵学院,安徽铜陵244000 |
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| 摘 要： | 由于虚拟社区语言不规范,使用传统的语义分析方法计算话题相关性时存在较高的不确定性。文章提出一种新的方法,依据主题的文档结构图计算该主题的话题相关度,试验结果表明本文所提出的方法优于传统的语义分析方法,在一定程度上解决了计算话题相关性时出现的不确定性问题。
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| 关 键 词： | 虚拟社区 话题相关性 文档结构图 |
A Topic Relevance Algorithm on Virtual Community |
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| Li Mei,Kan Jun-ling,Wang Gui-sheng. A Topic Relevance Algorithm on Virtual Community[J]. , 2011, 0(1): 89-90 |
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| Authors: | Li Mei Kan Jun-ling Wang Gui-sheng |
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| Affiliation: | 1.Anhui university of Traditional Chinese Medicine,Hefei Anhui 230031,China;2.Tongling University,Tongling Anhui 244000,China) |
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| Abstract: | When the method of semantic analysis is applied to the practice of approaching the topic relevance in the virtual community,a great deal of uncertainties would be brought by the substandard languages.The article presents a current approach to figure out the theme relevance based on the documentary structure diagram.It also separates itself from the traditional semantic analysis method and removes the uncertainties in working out the topic relevance. |
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| Keywords: | virtual community topic relevance documentary structure diagram |
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