Dolf Trieschnigg
Artificial Intelligence · 2012–2014
A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #15,284 of 35,345 by trust here, #11,192 by citations
- Information Systems — 12 citations into it
- Sociology and Political Science — 9 citations into it; #7,150 of 22,756 by trust here, #4,532 by citations
- Human-Computer Interaction — 8 citations into it
- Natural Language Processing — 7 citations into it; #2,782 of 5,688 by trust here, #2,930 by citations
- Communication — 6 citations into it
Whom Dolf Trieschnigg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dong Nguyen
- Brendan T. O'Connor
- Clayton Fink
- David Bamman
- Jacob Eisenstein
- Fabian Pedregosa
- John D. Burger
- Penelope Eckert
- Rong-En Fan
- Delip Rao
Who trusts Dolf Trieschnigg overall
- Dong Nguyen
- A. Seza Doğruöz
- Anna Schmidt
- Lucie Flekova
- Marcos Zampieri
- Sara Rosenthal
- Shervin Malmasi
- Carolyn Penstein Rosé
- Loizos Michael
Papers from Dolf Trieschnigg's perspective
Ordered by how strongly the researchers Dolf Trieschnigg trusts endorse each paper. Same corpus, a different order for every researcher.
- LIBLINEAR: A Library for Large Linear Classification
- Effects of Age and Gender on Blogging (AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs)
- Classifying latent user attributes in twitter
- Discriminating Gender on Twitter
- Scikit-learn: Machine Learning in Python
- Understanding the Demographics of Twitter Users
- Language and gender
- Modeling Latent Biographic Attributes in Conversational Genres
- Improving Gender Classification of Blog Authors
- The WEKA data mining software: an update
Their papers
- "How Old Do You Think I Am?" A Study of Language and Age in Twitter (2013) — 347 citations
- Improving Cyberbullying Detection with User Context (2013) — 396 citations
- TweetGenie: Development, Evaluation, and Lessons Learned (2014) — 15 citations
- Why Gender and Age Prediction from Tweets is Hard: Lessons from a Crowdsourcing Experiment (2014) — 135 citations
- Improved cyberbullying detection using gender information (2012) — 205 citations