Term Graph Model for Text Classification

By Diep Bich Do, Xuemin Lin. 2005

49 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

1. Yangqiu Song
2. Robert Sanderson
3. Michele A. A. Zito
4. Qiang Yang
5. Frans Coenen
6. Hao Peng
7. Lihong Wang
8. Yaopeng Liu

In Information Systems

1. Robert Sanderson
2. Michele A. A. Zito
3. Qiang Yang
4. Frans Coenen
5. Yangqiu Song
6. Hao Peng
7. Chuntao Jiang
8. Konstantinos Skianis

Citations in the corpus

• Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN (2018, methodology): “There is also existing work on converting texts to graphs [34, 42].”
• Graph-based term weighting for text categorization (2015, methodology): “[38] introduced a term graph model, that contrary to our approach, it captures the relationships among terms using frequent itemset mining techniques.”
• 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.”