Fast Categorization of Web Documents Represented by Graphs
By Alex Markov, Mark Last, A. Kandel. 2006
21 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michalis Vazirgiannis
- François Rousseau
- Marina Litvak
- Robert Sanderson
- Michele A. A. Zito
- Frans Coenen
- Chuntao Jiang
- Emmanouil Kiagias
In Information Systems
- Marina Litvak
- Robert Sanderson
- Michele A. A. Zito
- Michalis Vazirgiannis
- Frans Coenen
- Chuntao Jiang
- Emmanouil Kiagias
- Mark Last
Citations in the corpus
- Text Categorization as a Graph Classification Problem (2015, background): “The work of Markov et al. (2007) is perhaps the closest to ours since they also perform subgraph feature mining on graph-of-words representations but with non-standard datasets and baselines.”
- Graph-Based Keyword Extraction for Single-Document Summarization (2008, background): “…be applied to various languages and domains without any modifications of the graph construction procedure (except for the technical upgrade of implementation for multilingual processing of text, like reading Unicode or language-specific encodings, etc.) (Markov et al., 2007; Last and Markov, 2005).”
- Text Classification using Graph Mining-based Feature Extraction (2010, background): “Previous work [13, 20] has looked at the collocation of terms and their frequencies as graphs, rather than the linguistic structure of the sentence.”