基于微博的个人兴趣与情感转移倾向研究

河北科技大学学报 Pub Date : 2015-04-01 DOI:10.7535/hbkd.2015yx02012

Jiushuo Wang, Kai Gao, Jie Zhao, Guo-Jiang Gao

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引用次数: 0

摘要

随着社交网络的快速发展，人们可以在微博上表达或分享自己的观点和情感，从而产生了大量不同话题的博客文本和情感信息。针对传统文本挖掘算法无法有效处理内容零散、个人情绪各异的微博文本的问题，本文提出了一种基于微博关键特征的权重计算方法，以获取博主在不同时间的动态兴趣。此外，在情绪分类的基础上，还可以实现情绪转移倾向分析。实验结果表明了该方法的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on micro-blog based personal interests and emotion transition tendency

With the rapid development of social network,people can present or share their opinions and emotions on the micro-blog,and as a result,large amount of blog texts and emotional information of different topics are produced. As the traditional text mining algorithms cannot deal with these blog texts with fractional contents and different personal emotions effectively,this paper presents a novel weighting computation approach based on the key characters of micro-blog posts to get the dynamic interests of bloggers on different times. Furthermore,based on the emotion classification,the emotion transition tendency analysis can also be implemented. Experimental results show the feasibility of the presented approach.

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来源期刊

河北科技大学学报

自引率

0.00%

发文量

3341

审稿时长

16 weeks

期刊介绍： Journal of Hebei University of Science and Technology is a comprehensive academic science and technology journal hosted by Hebei University of Science and Technology, which is openly distributed at home and abroad, published bimonthly at the end of each month, with the domestic uniform serial number CN 13-1225/TS and the international standard serial number ISSN 1008-1542. It is selected as one of the Chinese core journals of Peking University, Chinese core journals of science and technology, RCCSE Chinese core academic journals (A), excellent scientific and technological journals of Chinese colleges and universities, and ‘Top Ten’ journals of Hebei Province. According to the ‘Annual Report on Impact Factor of Chinese Academic Journals (2024 Edition)’ issued by China Knowledge Evaluation Centre in October 2024, the compound impact factor of Journal of Hebei University of Science and Technology is 1.736 (35/146 in subject order), and the influence index (CI) is 336 (62/146 in subject order). Journal of Hebei University of Science and Technology mainly publishes research papers in the fields of [Mechanical, Electronic and Information Science], [Material Science], [Food and Biological Science], [Textile Science], [Civil and Architectural Engineering], [Transportation and Logistics], etc. It also has [National Youth/Regional Science Fund Project Columns ], [Chemistry and Chemical Industry Column], [New Energy and Energy Conservation and Environmental Protection Column], [Data Analysis and Calculation Column] and [Xiongan Green Innovation Column] 5 special columns. Journal of Hebei University of Science and Technology is now published in China Academic Journals Network Publishing Database (China Knowledge), ‘China Science and Technology Paper Statistics Source Journal’ (China Science and Technology Core), Chinese Science and Technology Journal Database (Wipo), Wanfang Database, Changjiang Literature Library, Taiwan Chinese Journal Database, Chinese Journal Database, Chinese Journal Database, Chinese Journal Database, Chinese Journal Database, Chinese Journal Database, and Chinese Journal Database. Database, Changjiang Literature Library, Chinese Electronic Periodical Service in Taiwan - CEPS (CEPS), as well as the American Chemical Abstracts (Web Edition) (CA), the American Ulrich's Journal Guide (Web Edition) (Ulrichsweb), the American EBSCOhost Database (EBSCO), the British Polymer Library (PL), DOAJ (Sweden), HINARI (Switzerland), and JSTChina (Japan Science and Technology Agency).