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Using full-text citation network to enhance the keyword label performance
Pan, Youneng; Liu, Xiaozhong
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https://hdl.handle.net/2142/73719
Description
- Title
- Using full-text citation network to enhance the keyword label performance
- Author(s)
- Pan, Youneng
- Liu, Xiaozhong
- Issue Date
- 2015-03-15
- Keyword(s)
- information seeking/retrieval
- natural language processing
- text/data/knowledge mining
- Date of Ingest
- 2015-03-24T16:07:36Z
- Abstract
- Keyword metadata is very important to the retrieval and management of scientific publications. However, keyword sparseness, in the scientific repository, threatens the usability, and manually assigning keywords is laborious and inefficiency. In this study, we investigate an automatic keyword assigning approach based on full-text citation analysis and supervised topic model, which can characterize the semantic relation between keyword label and the contextual meaning. Full-text citation network is constructed with publication topic distribution and citation topical motivation, which may potentially enhance the keyword label performance.
- Publisher
- iSchools
- Series/Report Name or Number
- iConference 2015 Proceedings
- Type of Resource
- text
- Genre of Resource
- Conference Poster
- Language
- English
- Permalink
- http://hdl.handle.net/2142/73719
- Copyright and License Information
- Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
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