Kasper Welbers

Artificial Intelligence · 2016–2026

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kasper Welbers trusts overall

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

  1. Justin Grimmer
  2. David M. Blei

Papers from Kasper Welbers's perspective

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

  1. Latent Dirichlet Allocation
  2. Reading Tea Leaves: How Humans Interpret Topic Models
  3. Generating Typed Dependency Parses from Phrase Structure Parses
  4. How to Analyze Political Attention with Minimal Assumptions and Costs
  5. Structural Topic Models for Open‐Ended Survey Responses
  6. Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
  7. Computer-Assisted Text Analysis for Comparative Politics (Political Analysis)
  8. Joint sentiment/topic model for sentiment analysis (International Conference on Information and Knowledge Management)
  9. Introduction to the Dirichlet Distribution and Related Processes
  10. The Content Analysis of Media Frames: Toward Improving Reliability and Validity

Their papers