TY - GEN
T1 - Supervised HDP using prior knowledge
AU - Xie, Boyi
AU - Passonneau, Rebecca J.
PY - 2012
Y1 - 2012
N2 - End users can find topic model results difficult to interpret and evaluate. To address user needs, we present a semi-supervised hierarchical Dirichlet process for topic modeling that incorporates user-defined prior knowledge. Applied to a large electronic dataset, the generated topics are more fine-grained, more distinct, and align better with users' assignments of topics to documents.
AB - End users can find topic model results difficult to interpret and evaluate. To address user needs, we present a semi-supervised hierarchical Dirichlet process for topic modeling that incorporates user-defined prior knowledge. Applied to a large electronic dataset, the generated topics are more fine-grained, more distinct, and align better with users' assignments of topics to documents.
UR - http://www.scopus.com/inward/record.url?scp=84864011541&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864011541&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-31178-9_21
DO - 10.1007/978-3-642-31178-9_21
M3 - Conference contribution
AN - SCOPUS:84864011541
SN - 9783642311772
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 197
EP - 202
BT - Natural Language Processing and Information Systems - 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012, Proceedings
T2 - 17th International Conference on Applications of Natural Language to Information Systems, NLDB 2012
Y2 - 26 June 2012 through 28 June 2012
ER -