Daniel Graziotin

Artificial Intelligence · 2016

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 Daniel Graziotin trusts overall

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

  1. Bo Pang
  2. Minqing Hu
  3. T. Griffiths
  4. Anne-Wil Harzing
  5. Bettina Grün
  6. Peter D. Turney
  7. Lillian Lee
  8. Casey Whitelaw
  9. Mike Thelwall
  10. Jeonghee Yi

Papers from Daniel Graziotin's perspective

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

  1. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
  2. Thumbs up? Sentiment Classification using Machine Learning Techniques
  3. Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
  4. Mining and summarizing customer reviews
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Mining the peanut gallery: opinion extraction and semantic classification of product reviews (The Web Conference)
  10. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis

Their papers