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Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization

  • Published:2017-09 Issue: Volume:132 Page:94-118
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Geraldeli Rossi Rafael,Andrade Lopes Alneu de,Oliveira Rezende Solange

Funder

FAPESP

CNPq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference68 articles.

1. Learning with Partially Labeled and Interdependent Data;Amini,2015

2. Graph-Based Semi-Supervised Learning;Subramanya,2014

3. Introduction to Semi-Supervised Learning;Zhu,2009

4. Semi-Supervised Learning,2006

5. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts;Rossi;Inf. Process. Manage.,2016

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2. Text Classification of International Relations Based on Deep Learning;2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC);2022-04-14

3. Classification and Recognition of Internet Literature Text Based on Data Mining Technology;Cyber Security Intelligence and Analytics;2022

4. A graph-based approach for positive and unlabeled learning;Information Sciences;2021-11

5. A recent overview of the state-of-the-art elements of text classification;Expert Systems with Applications;2018-09
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