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| Research on Automatic Classification of Chinese Books Based on Social Tagging |
| He Lin1, Wan Jian2, He Juan1, Guo Shiyun1 |
1. College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095, China;
2. College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China |
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Abstract [Objective] The paper aims to improve the ability of automatic text classification of social tagging by controlling the relation and quality of social tagging. [Methods] A classification model called “core controlled, shell uncontrolled” is constructed based on the control of a concept space called Social tagging-Keyword in order to realize the regulation control of social tagging based on subject headings. [Results] The validity tests show that this new method has a better performance on the text classification based on social tagging in consideration of efficiency and the cost. [Limitations] The data used for concept space is not as much as possible due to the restriction of the Website. Also, the concept space is lack of deep semantic relations which would be richer in the future. [Conclusions] This study proposes a feasible solution for improving the quality of social tags and the capacity of automatic text classification.
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Received: 01 April 2014
Published: 20 October 2014
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