Oscar Bloemen

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oscar Bloemen trusts overall

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

  1. Andrei Z. Broder
  2. T. Warren Liao
  3. Daniel Gayo-Avello
  4. Qiaozhu Mei
  5. Tom De Smedt
  6. Hila Becker
  7. Yi Zhao
  8. Saul Greenberg
  9. Walter Daelemans
  10. Chengxiang Zhai

Papers from Oscar Bloemen's perspective

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

  1. Mining the peanut gallery: opinion extraction and semantic classification of product reviews (The Web Conference)
  2. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
  3. Opinion Mining and Sentiment Analysis (Foundations and Trends in Information Retrieval)
  4. A holistic lexicon-based approach to opinion mining
  5. Pattern for Python (Journal of machine learning research)
  6. Learning similarity metrics for event identification in social media (Web Search and Data Mining)
  7. Discovering evolutionary theme patterns from text: an exploration of temporal text mining
  8. Detecting product review spammers using rating behaviors (International Conference on Information and Knowledge Management)
  9. Context as a Dynamic Construct (Hum. Comput. Interact.)
  10. Spotting fake reviewer groups in consumer reviews (The Web Conference)

Their papers