Miriam Fernández
Artificial Intelligence · WIREs Data Mining Knowl. Discov. · 2013–2020
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 68 citations into it; #21,031 of 35,345 by trust here, #19,018 by citations
- Statistical and Nonlinear Physics — 16 citations into it
- Natural Language Processing — 10 citations into it
Whom Miriam Fernández trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hassan Saif
- Alec Go
- Peter D. Turney
- Klaus Krippendorff
- David A. Shamma
- Mike Thelwall
- Xia Hu
- Nicholas A. Diakopoulos
- Yulan He
- George Forman
Who trusts Miriam Fernández overall
- Anastasia Giahanou
- Fabio A. Crestani
- Hassan Saif
- Francisca Adoma Acheampong
- Erik Cambria
- Fatemeh Hemmatian
- Jianqiang Zhao
Papers from Miriam Fernández's perspective
Ordered by how strongly the researchers Miriam Fernández trusts endorse each paper. Same corpus, a different order for every researcher.
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Information Theory: 1948-1998 - Guest Editorial
- Twitter Sentiment Classification using Distant Supervision
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Robust Sentiment Detection on Twitter from Biased and Noisy Data (International Conference on Computational Linguistics)
- Tweet the debates: understanding community annotation of uncollected sources (WSM@MM)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter (2014) — 250 citations
- Bias in data‐driven artificial intelligence systems—An introductory survey (2020) — 903 citations
- Contextual semantics for sentiment analysis of Twitter (2016) — 424 citations
- Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold (2013) — 321 citations