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DAWAK
2008
Springer
13 years 8 months ago
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
Analyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The AuthorTopic model is a statistical model that id...
Liqiang Geng, Hao Wang, Xin Wang, Larry Korba
ACTAC
2006
126views more  ACTAC 2006»
13 years 6 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
13 years 10 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
WWW
2009
ACM
14 years 7 months ago
Mining multilingual topics from wikipedia
In this paper, we try to leverage a large-scale and multilingual knowledge base, Wikipedia, to help effectively analyze and organize Web information written in different languages...
Xiaochuan Ni, Jian-Tao Sun, Jian Hu, Zheng Chen
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
13 years 4 months ago
Probabilistic topic modeling for genomic data interpretation
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
Xin Chen, Xiaohua Hu, Xiajiong Shen, Gail Rosen