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» Joins that Generalize: Text Classification Using WHIRL
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KAIS
2006
172views more  KAIS 2006»
13 years 7 months ago
CoMMA: a framework for integrated multimedia mining using multi-relational associations
Generating captions or annotations automatically for still images is a challenging task. Traditionally, techniques involving higher-level (semantic) object detection and complex f...
Ankur Teredesai, Muhammad A. Ahmad, Juveria Kanodi...
SAC
2010
ACM
14 years 2 months ago
Mining temporal relationships among categories
Temporal text mining deals with discovering temporal patterns in text over a period of time. A Theme Evolution Graph (TEG) is used to visualize when new themes are created and how...
Saket S. R. Mengle, Nazli Goharian
ITNG
2006
IEEE
14 years 1 months ago
Biomedical Term Disambiguation: An Application to Gene-Protein Name Disambiguation
The huge volumes of biomedical texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information. ...
Hisham Al-Mubaid, Ping Chen
WWW
2005
ACM
14 years 8 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han
WWW
2010
ACM
13 years 7 months ago
Cross-domain sentiment classification via spectral feature alignment
Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditio...
Sinno Jialin Pan, Xiaochuan Ni, Jian-Tao Sun, Qian...