基于话题相关空间的微博用户兴趣识别及可视化方法

计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 500-502.

基于话题相关空间的微博用户兴趣识别及可视化方法

赵华,纪晓文,曾庆田,郝春燕

山东科技大学信息科学与工程学院青岛266590,山东科技大学信息科学与工程学院青岛266590,山东科技大学信息科学与工程学院青岛266590,山东科技大学信息科学与工程学院青岛266590

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金(61170079,2),山东省自然科学基金(ZR2013FQ030),教育部网络时代科技论文快速共享课题(2013122),山东省优秀中青年科学家科研奖励基金(BS2012DX030),山东省高等学校科技计划项目(J12LN45),中国煤炭工业协会2013年度科学技术研究指导性计划项目(MTKJ2013-366),山东科技大学2014－2015年度研究生科技创新基金项目(YC140324,YC140326)资助

Topic Related Space-based Microblog User Interests Mining and Visualization Method

ZHAO Hua, JI Xiao-wen, ZENG Qing-tian and HAO Chun-yan

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 微博已经成为获取用户兴趣的有效平台。在分析了用户发表微博的习惯及特点的基础上,提出了一种基于话题相关空间自动构建,同时融合位置信息的微博用户兴趣识别方法。该方法首先基于话题检测技术构建话题相关空间,提出了基于空间范围的TFIDF计算方法,然后融合位置信息计算微博词汇的兴趣表征值,最后采用3D标签云对兴趣识别结果进行了可视化。实验结果表明了所提方法的有效性。

Abstract: Microblog is an effective platform to get the user interests.Based on the analysis of the habit and the characteristic of publishing microblog,this paper proposed a topic related space-based microblog user interests mining me-thod,with the help of the location feature.This method firstly creates the topic related space based on the topic detection,secondly calculates the interest index value of each word based on the combination of TFIDF and location feature,and finally visualizes the mining results based on the 3D tag clouds.The experimental results show that the proposed method is useful.

Key words: Microblog,User interests,Topic related space,Visualization

赵华,纪晓文,曾庆田,郝春燕. 基于话题相关空间的微博用户兴趣识别及可视化方法[J]. 计算机科学, 2015, 42(Z6): 500-502. https://doi.org/

ZHAO Hua, JI Xiao-wen, ZENG Qing-tian and HAO Chun-yan. Topic Related Space-based Microblog User Interests Mining and Visualization Method[J]. Computer Science, 2015, 42(Z6): 500-502. https://doi.org/

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