Bin Dai

Artificial Intelligence · with Gong · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Dai trusts overall

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

  1. Kamal Nigam
  2. Yiming Yang
  3. Sara Rosenthal
  4. Morgane Ciot

Papers from Bin Dai's perspective

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

  1. Discriminating Gender on Twitter
  2. Classifying latent user attributes in twitter
  3. Improving Gender Classification of Blog Authors
  4. Exploring Demographic Language Variations to Improve Multilingual Sentiment Analysis in Social Media
  5. A re-examination of text categorization methods
  6. Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations
  7. Gender Inference of Twitter Users in Non-English Contexts
  8. Analyzing the effectiveness and applicability of co-training
  9. Predicting age and gender in online social networks (SMUC '11)
  10. User Demographics and Language in an Implicit Social Network

Their papers