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Analysis On User Tagging Behavior Of Different Thematic Resources In Social Tagging System

Posted on:2019-05-20Degree:MasterType:Thesis
Country:ChinaCandidate:Q WuFull Text:PDF
GTID:2428330569980908Subject:Library and Information Science
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ObjectiveSocial tagging is a typical application of Web 2.0 technologies.With the development and popularization of the Internet,more and more Internet application platforms adopt the social tagging function,allowing many users to participate in the comment and sharing of network information resources in the form of tags in order to realize the description and reveal of the contents of network information resources.However,there are some problems such as the choice of randomization,the vague expression of semantics,the different words of the same meaning and different meaning of same words in social tags,which reduces the efficiency of users in using information resources and limits the practical effect of tags.At the same time,it also reduces the quality of information organization and retrieval systems to some extent.Title of this paper is from the research projects "Research on Semantic Analysis of Tag System Based on Framework Web Ontology"(13TCQ030)aided financially by the State Social Science Fund.On the basis of analysis and research of user tagging behavior based on tags on different thematic resources in social tagging system,On the one hand,it can truly reveal and understand the user tagging motivation and tagging method in social tagging system so as to achieve the purpose of comprehensive understanding of user tagging behavior;On the other hand,we can find out the main factors restricting user to retrieve network information management and utilization so as to improve the use of tags,further improve the organization and retrieval efficiency of network information,and fully realize the dissemination,sharing and utilization of information resources.At the same time,it can optimize the structural functions and application services of social tagging system and promote the sustainable development of social tagging system.MethodsBased on self-developed tag-snapping software(social tagging knowledge acquisition system)to capture thematic resource date of "Internet","health" and "psychology" on Douban online social tagging resource website.Using the literature analysis method to collate the relevant literatures and put forward the research direction of this subject;Using the methods of empirical research,statistical description and difference analysis to quantitative research including the type of tag language,the statistics of tag in the part of speech,the normalization of tag language,the tendency of tagging,the function of tag,the emotion of tag,the source of tag,and the qualitative research including user tagging behavior of tag type ratio quantitative indicator.ResultsThe result of the feature analysis shows:?User prefers to use the Chinese tags of noun,verb,adjective and other parts of speech.?The tag language of user is not normative,and more often the user chooses non-keywords and non-category words as tags to tag resources.?User tends to use the keyword tags with descriptive function to tag resources in order to reveal the subject content of the book.?Users tend to use evaluative tags and attitude tags to tag resources so that other users can focus on the resource and share resources.?User tagging tendency is not high,most users never tag for book resource and the proportion of tags come from the title of is low.The result of the variance analysis shows:there are significant differences in user tagging behavior of different thematic resources on the type of tag language,the tendency of tagging and the source of tag,and It's not obvious that there's a significant difference in user tagging behavior of different thematic resources on the statistics of tag in the part of speech,the normalization of tag language,the function of tag and the emotion of tag.ConclusionsSocial tagging system should optimize the structural functions and application services from the aspects of improving the function of personalized recommendation service,increasing the correction function of Irregular tags,improving the tag retrieval function,adding the tag navigation function and improving the tag browsing method,which is of great significance to promote the sustainable development of the social tagging system.
Keywords/Search Tags:Thematic resources, Tagging behavior, Social tags, Tag tagging, Statistical analysis
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