Demo Data from VLDB 2026 / reviewers in the wild / expert
Moritz Sudhof
dblp:131/6523
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author
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
2 papers |
Computational social science and digital humanities · 100% | |
| Artificial intelligence
1 paper |
Information extraction and text analysis · 100% |
Topics — the 1 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 media analysis
sentiment analysis |
0.2 | 1 | 2014 | Sentiment expression conditioned by affective transitions and social forces · KDD 2014 |
Methods — techniques the papers use, named apart from their topics
statistical modeling · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Sentiment expression conditioned by affective transitions and social forcesabstractHuman emotional states are not independent but rather proceed along systematic paths governed by both internal, cognitive factors and external, social ones. For example, anxiety often transitions to disappointment, which is likely to sink to depression before rising to happiness and relaxation, and these states are conditioned by the states of others in our communities. Modeling these complex dependencies can yield insights into human emotion and support more powerful sentiment technologies. Moritz Sudhof, Andrés Goméz Emilsson, Andrew L. Maas, Christopher Potts |
KDD | 1 |
| 2013 | A computational approach to politeness with application to social factors
Cristian Danescu-Niculescu-Mizil, Moritz Sudhof, Daniel Jurafsky, Jure Leskovec, Christopher Potts |
ACL (1) | 2 |