Julia Silge

Journal of Open Source Software · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Julia Silge trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ingo Feinerer
  2. Hadley Wickham
  3. Kurt Hornik
  4. David Meyer

Who trusts Julia Silge overall

  1. Chun-Hua Tsai
  2. Peter Brusilovsky

Papers from Julia Silge's perspective

Ordered by how strongly the researchers Julia Silge trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Text Mining Infrastructure in R
  2. Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
  3. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  4. Building a Large Annotated Corpus of English: The Penn Treebank
  5. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  6. Indexing by Latent Semantic Analysis
  7. Cluster Analysis for Applications
  8. Learning Kernel Classifiers: Theory and Algorithms
  9. RCV1: A New Benchmark Collection for Text Categorization Research
  10. Learning to classify text using support vector machines - methods, theory and algorithms (The Kluwer International Series in Engineering and Computer Science)

Their papers