Johan Bollen
Artificial Intelligence · 2005–2015
A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 78 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #3,645 of 35,345 by trust here, #3,138 by citations
- Statistical and Nonlinear Physics — 34 citations into it; #9,259 of 10,127 by trust here, #2,631 by citations
- Information Systems — 22 citations into it; #5,647 of 8,771 by trust here, #6,501 by citations
- Statistics and Probability — 12 citations into it; #9,235 of 12,932 by trust here, #6,080 by citations
- Natural Language Processing — 6 citations into it
Whom Johan Bollen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bo Pang
- Ellen Riloff
- Theresa Wilson
- Janyce Wiebe
- Michael Gamon
- Tetsuya Nasukawa
- Ian T. Jolliffe
- Jeonghee Yi
- Lillian Lee
- Brendan T. O'Connor
Who trusts Johan Bollen overall
- Saif M. Mohammad
- Pollyanna Gonçalves
- Manoochehr Ghiassi
- Ingrid E. Fisher
- Mohamed M. Mostafa
- Ludo Waltman
- Lin Yue
- Qing Li
- Emre Kıcıman
- Daniel Gayo-Avello
Papers from Johan Bollen's perspective
Ordered by how strongly the researchers Johan Bollen trusts endorse each paper. Same corpus, a different order for every researcher.
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Authoritative sources in a hyperlinked environment
- Sentiment analysis: capturing favorability using natural language processing
- Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques (Third IEEE International Conference on Data Mining)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
Their papers
- Twitter mood predicts the stock market (2010) — 5,439 citations
- Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena (2009) — 1,236 citations
- Computational Fact Checking from Knowledge Networks (2015) — 477 citations
- A Principal Component Analysis of 39 Scientific Impact Measures (2009) — 566 citations
- How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations (2012) — 312 citations
- Co-authorship networks in the digital library research community (2005) — 891 citations