354 search results - page 29 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
75
Voted
COLING
2010
14 years 4 months ago
2010
For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emotion lexicons for public use, we adopted a graph-based alg...
ICWSM
2009
14 years 7 months ago
2009
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
IIR
2010
14 years 11 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
72
Voted
WSDM
2010
ACM
15 years 7 months ago
2010
ACM
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...