Search (5 results, page 1 of 1)

  • × author_ss:"Zeng, D."
  1. Miao, Q.; Li, Q.; Zeng, D.: Fine-grained opinion mining by integrating multiple review sources (2010) 0.03
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    Abstract
    With the rapid development of Web 2.0, online reviews have become extremely valuable sources for mining customers' opinions. Fine-grained opinion mining has attracted more and more attention of both applied and theoretical research. In this article, the authors study how to automatically mine product features and opinions from multiple review sources. Specifically, they propose an integration strategy to solve the issue. Within the integration strategy, the authors mine domain knowledge from semistructured reviews and then exploit the domain knowledge to assist product feature extraction and sentiment orientation identification from unstructured reviews. Finally, feature-opinion tuples are generated. Experimental results on real-world datasets show that the proposed approach is effective.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2288-2299
  2. Zhang, C.; Zeng, D.; Li, J.; Wang, F.-Y.; Zuo, W.: Sentiment analysis of Chinese documents : from sentence to document level (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.12, S.2474-2487
  3. Chung, W.; Zeng, D.: Social-media-based public policy informatics : sentiment and network analyses of U.S. immigration and border security (2016) 0.00
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    Footnote
    Dazu eine Korrektur in: Journal of the Association for Information Science and Technology 67(2016) no.7, S.1588-1606. "On page 1594 of the above-mentioned article, the sentence "a sentiment polarity (positive [+1] or negative [-1]) and is categorized into one (or more) emotional category." should be "Each word was assigned a sentiment polarity (positive [+1] or negative [-1]) and is categorized into one (or more) emotional category. The sentiment polarity of a tweet is the average the sentiment polarities of all words in the tweet.""
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1588-1606
  4. Chen, H.; Fan, H.; Chau, M.; Zeng, D.: MetaSpider : meta-searching and categorization on the Web (2001) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.13, S.1134-1147
  5. Zhang, Z.; Li, Q.; Zeng, D.; Ga, H.: Extracting evolutionary communities in community question answering (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1170-1186