A Study of Approaches to Hypertext Categorization

By Yiming Yang, Seán Slattery, Rayid Ghani. Journal of Intelligence and Information Systems, 2002

361 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/056dc21b3283e6a69783921367babea2d220684c

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Citations in the corpus

of the European Chapter of the Association for Computational Linguistics (2006, methodology): “One of the first approaches with a reasonable computational complexity was introduced by Tai (1979) who extended the problem of sequence edit distance to trees.”
Social tag prediction (2008, background): “[20], we believe the application to tags is new.”
Learning Accurate and Interpretable Classifiers Using Optimal Multi-Criteria Rules (2013, methodology): “Macro- and micro-averaging [Yang et al. 2002] were applied to F1 to get single performance values.”
Learning Probabilistic Models of Link Structure (2003, background): “Yang et al. (2002) identify certain categories of relational regularities and explore the conditions under which they can be exploited to improve classification accuracy.”
A review of associative classification mining (2007, methodology): “…RÞ : ð7:3Þ F1 is computed for each class independently and then the mean or the average of the results is computed on the test data set as a whole using one of two different methods called microaveraging and macro-averaging (Yang et al., 2002) in order to reflect the quality of the classifier.”
Combining content and link for classification using matrix factorization (2007, methodology): “The experiments of [21] show that using terms from the linked document improves the classification accuracy.”
Collective Classification in Network Data (2008, background): “Yang, Slattery, & Ghani [63] conducted an in-depth investigation over multiple datasets commonly used for document classification experiments and identified different patterns.”
Why collective inference improves relational classification (2004, background): “Several more recent studies of collective inference have extended and broadened this work [9,12,14,15,17].”
Improved salp swarm algorithm based on particle swarm optimization for feature selection (2018, background): “…et al. 2017; Chikh and Chikhi 2017; Saravanan and Rajesh Babu 2017), gene expression array analysis (Li and Wong 2002), text categorization (Yang et al. 2002), genomics (Kohane et al. 2002), cancer detection (Prabukumar et al. 2017), image classification (Ibrahim et al. 2018), computer…”
Web site design with the patron in mind: A step-by-step guide for libraries (2006, methodology): “Various features have been used in Web page classification including words in the content of the Web page [7, 22], words associated with the links pointing to the page [9, 19, 22] and the neighbor Web page concept labels [4, 15, 16].”
Using web structure for classifying and describing web pages (2002, background): “search engine ranking [4], improve web crawlers [6], discover web communities [8], organize search results into hubs and authorities [13], make predictions about similarity between research papers [16] and even to classify target web pages [20, 9, 2, 5, 3].”