Results 211 to 220 of about 893,611 (240)
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Finding keywords in blogs: Efficient keyword extraction in blog mining via user behaviors
Expert Systems With Applications, 2014Readers are becoming accustomed to obtaining useful and reliable information from bloggers. To make access to the vastly increasing resource of blogs more effective, clustering is useful. Results of the literature review suggest that using linking information, keywords, or tags/categories to calculate similarity is critical for clustering. Keywords are
Eric Jui-Lin Lu
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Probabilistic Techniques for Corporate Blog Mining
2007With the proliferation of blogs, or weblogs, in the recent years, information in the blogosphere is becoming increasingly difficult to access and retrieve. Previous studies have focused on analyzing personal blogs, but few have looked at corporate blogs, the numbers of which are dramatically rising.
Flora S. Tsai, Yun Chen, Kap Luk Chan
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Mining Social Relationships in Micro-blogging Systems
2011The widespread popularity and vigorous growth of micro-blogging systems provides a fertile source for analyzing social networks and phenomenon. Currently, few data mining tools can deal with unique characteristics of micro-blogging systems. In this study, we propose an integrate approach for mining user relationships in micro-blogging systems.
Qin Gao, Qu Qu, Xuhui Zhang
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Social media framework for business blog mining
International Journal of Business and Systems Research, 2012The explosive proliferation of blogs and new forms of social media requires new technologies to transfer the digital realm of the blogosphere into a manageable form. In this paper, we describe a social media data mining framework for business blog mining which evaluates the ability of blog-specific properties to improve classification results in our ...
Flora S Tsai
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Uses of Ontologies in Open Source Blog Mining
2010The blogosphere provides a novel window into an important segment of public opinion, but its dynamic nature makes it an elusive medium to analyze and interpret in the aggregate, where it is most informative. We are developing a new open-source blog mining technology that employs ontologies to solve this problem by fusing the signals of the blogosphere ...
Brian Ulicny +2 more
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Blog search and mining in the business domain
Proceedings of the 2007 international workshop on Domain driven data mining, 2007Weblogs, or blogs, have rapidly gained in popularity over the past few years. In particular, the growth of business blogs written by or providing commentary on businesses and companies opens up new opportunities for developing blog-specific search and mining techniques. In this paper, we propose probabilistic models for blog search and mining using two
Yun Chen, Flora S. Tsai, Kap Luk Chan
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Emotion mining research on micro-blog
2009 1st IEEE Symposium on Web Society, 2009In order to identify the emotion expressed in corpus and to estimate the feelings conveyed by micro-blog data, in this paper, we categorize emotional words, build attitudinal words weight dictionary(WD) which consists of 1342 words, and construct self-defined negative words dictionary(NWD), degree words dictionary(DWD) and interjection words dictionary(
Yang Shen +4 more
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Utilizing Social Relationships for Blog Popularity Mining
2009Due to the ease of use in blogs, this new form of web content has become a popular online media. Detecting the popularity of blogs in the massive blogosphere is a critical issue. General search engines that ignore the social interconnection between bloggers have less discrimination of blogs.
Chih-Lu Lin, Hao-Lun Tang, Hung-Yu Kao
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Mining city landmarks from blogs by graph modeling
Proceedings of the 17th ACM international conference on Multimedia, 2009Recent years have witnessed great prosperity in community-contributed multimedia. Discovering, extracting, and summarizing knowledge from these data enables us to make better sense of the world. In this paper, we report our work on mining famous city landmarks from blogs for personalized tourist suggestions.
Rongrong Ji +3 more
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Slovak Blog Clustering Enhanced by Mining the Web Comments
2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011Web environment gives us an opportunity to take broader aspects of textual information into account, for example information about behavior of web users, global web trends or social interactions between users. In this paper we present and evaluate method suitable for enhancing blog clustering using the information hidden in web comments.
Tomas Kuzar, Pavol Návrat
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