Thomas Forss
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Information Systems — 6 citations into it
- Natural Language Processing — 5 citations into it
Whom Thomas Forss trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Thomas Forss overall
Papers from Thomas Forss's perspective
Ordered by how strongly the researchers Thomas Forss trusts endorse each paper. Same corpus, a different order for every researcher.
- Hierarchical classification of Web content
- Discriminative learning for differing training and test distributions
- Sentiment Analysis and Opinion Mining
- Detecting Hate Speech on the World Wide Web
- Probabilistic topic models
- MEAD - A Platform for Multidocument Multilingual Text Summarization
- Learning from Imbalanced Data
- PEBL: Web page classification without negative examples (IEEE Transactions on Knowledge and Data Engineering)
- Locate the Hate: Detecting Tweets against Blacks
- Sentiment in short strength detection informal text (J. Assoc. Inf. Sci. Technol.)
Their papers
- New classification models for detecting Hate and Violence web content (2015) — 45 citations