Senja Pollak

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Senja Pollak trusts overall

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

  1. Wes McKinney
  2. Adam Vogel
  3. David A. Ferrucci
  4. Fabian Pedregosa
  5. Marco Lui
  6. Dan Jurafsky
  7. Adam Lally
  8. Moshe Koppel

Papers from Senja Pollak's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Automatically Categorizing Written Texts by Author Gender
  3. Effects of Age and Gender on Blogging (AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs)
  4. Discriminating Gender on Twitter
  5. UIMA: an architectural approach to unstructured information processing in the corporate research environment (Natural Language Engineering)
  6. Predicting age and gender in online social networks (SMUC '11)
  7. langid.py: An Off-the-shelf Language Identification Tool
  8. The Secret Life of Pronouns. What Our Words Say About Us (Literary and Linguistic Computing)
  9. He Said, She Said: Gender in the ACL Anthology
  10. Is it really about me?: message content in social awareness streams

Their papers