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| Corpus Construction for Citation Sentiment in Chinese Literature |
| Xu Linhong1,2, Ding Kun1, Chen Na1, Li Bing1 |
1.WISE Lab, Institute of Science of Science and Technology Management, Dalian University of Technology, Dalian 116024
2.Software Institute, Dalian University of Foreign Languages, Dalian 116044 |
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Abstract A content-based citation sentiment analysis overcomes the traditional problem of frequency-based citation assimilation, which is an important research hotspot in the field of citation content analysis. However, citation sentiment analysis relies on annotated datasets, and the lack of a large-scale and high-quality citation sentiment corpus seriously restricts research progress in this field. Therefore, based on the analysis of citation sentiment expression, a set of annotation schemes for such expression is proposed in this paper, along with elaboration regarding the technology and method of corpus construction. A large-scale citation sentiment corpus on Chinese literature was constructed using the human-computer interaction annotation strategy through a comprehensive citation annotation system. The statistical results show the proportions of positive and negative citations as 22% and 6%, respectively, and the kappa value of citation sentiment reached 0.852, indicating that this corpus objectively reflects the author s sentiments and can provide data support for research in related fields such as paper evaluation, citation network analysis, and sentiment analysis.
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Received: 21 February 2019
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