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» Applications of Multilingual Text Retrieval
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CIKM
2010
Springer
13 years 6 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 8 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
MMSP
2008
IEEE
159views Multimedia» more  MMSP 2008»
14 years 2 months ago
A text segmentation based approach to video shot boundary detection
Abstract—Video shot boundary detection is one of the fundamental tasks of video indexing and retrieval applications. Although many methods have been proposed for this task, find...
Duy-Dinh Le, Shin'ichi Satoh, Thanh Duc Ngo, Duc A...
KDD
2010
ACM
246views Data Mining» more  KDD 2010»
13 years 6 months ago
Latent aspect rating analysis on review text data: a rating regression approach
In this paper, we define and study a new opinionated text data analysis problem called Latent Aspect Rating Analysis (LARA), which aims at analyzing opinions expressed about an e...
Hongning Wang, Yue Lu, Chengxiang Zhai
RIAO
2007
13 years 9 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss