Theo Meder

Artificial Intelligence · 2013–2014

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #23,590 of 35,345 by trust here, #16,471 by citations
• Human-Computer Interaction — 8 citations into it
• Information Systems — 8 citations into it
• Natural Language Processing — 7 citations into it; #3,958 of 5,688 by trust here, #3,369 by citations
• Sociology and Political Science — 7 citations into it; #12,953 of 22,756 by trust here, #7,985 by citations
• Communication — 5 citations into it

Whom Theo Meder trusts overall

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

1. Dong Nguyen
2. Brendan T. O'Connor
3. Fabian Pedregosa

Who trusts Theo Meder overall

1. Dong Nguyen
2. A. Seza Doğruöz

Papers from Theo Meder's perspective

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

1. Effects of Age and Gender on Blogging (AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs)
2. LIBLINEAR: A Library for Large Linear Classification
3. Classifying latent user attributes in twitter
4. Understanding the Demographics of Twitter Users
5. Discriminating Gender on Twitter
6. Scikit-learn: Machine Learning in Python
7. Language and gender
8. Modeling Latent Biographic Attributes in Conversational Genres
9. Improving Gender Classification of Blog Authors
10. What to do about bad language on the internet

Their papers

• "How Old Do You Think I Am?" A Study of Language and Age in Twitter (2013) — 347 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