Demo Data from EDBT 2026 / reviewers in the wild / expert
Vivek Venkataraman
dblp:91/2697
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 50% Computational science and engineering · 50% | |
| Artificial intelligence
1 paper |
Information extraction and text analysis · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities › social computing
online discussion analysis |
0.2 | 1 | 2013 | Public Dialogue: Analysis of Tolerance in Online Discussions · ACL (1) 2013 |
Computational science and engineering › engineering design
tolerance analysis |
0.2 | 1 | 2013 | Public Dialogue: Analysis of Tolerance in Online Discussions · ACL (1) 2013 |
Natural language and speech › Information extraction and text analysis
dialogue analysis |
0.0 | 1 | 2013 | Public Dialogue: Analysis of Tolerance in Online Discussions · ACL (1) 2013 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Public Dialogue: Analysis of Tolerance in Online Discussions
Arjun Mukherjee, Vivek Venkataraman, Bing Liu 0001, Sharon Meraz |
ACL (1) | 2 |
| 2013 | What Yelp Fake Review Filter Might Be Doing?
Arjun Mukherjee, Vivek Venkataraman, Bing Liu 0001, Natalie S. Glance |
ICWSM | 2 |