Joanne Yu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• General Social Sciences — 5 citations into it

Whom Joanne Yu trusts overall

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

1. D. Angelov
2. Liangjie Hong
3. Rania Albalawi
4. Ryan J. Gallagher
5. Brian D. Davison

Papers from Joanne Yu's perspective

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

1. Latent Dirichlet Allocation
2. Empirical study of topic modeling in Twitter
3. Big Data, new epistemologies and paradigm shifts
4. Learning the parts of objects by non-negative matrix factorization
5. Top2Vec: Distributed Representations of Topics (arXiv.org)
6. The end of theory: The data deluge makes the scientific method obsolete
7. MLbase: A Distributed Machine-learning System
8. Factors influencing popularity of branded content in Facebook fan pages
9. Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge
10. Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS

Their papers

• A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts (2022) — 872 citations