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IJCNLP
2005
Springer
14 years 26 days ago
Classifying Chinese Texts in Two Steps
Abstract. This paper proposes a two-step method for Chinese text categorization (TC). In the first step, a Naïve Bayesian classifier is used to fix the fuzzy area between two cate...
Xinghua Fan, Maosong Sun, Key-Sun Choi, Qin Zhang
CVPR
2008
IEEE
14 years 9 months ago
Integrated feature selection and higher-order spatial feature extraction for object categorization
In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen
KDD
2007
ACM
139views Data Mining» more  KDD 2007»
14 years 7 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
TAL
2010
Springer
13 years 5 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...
ACL
2008
13 years 8 months ago
Blog Categorization Exploiting Domain Dictionary and Dynamically Estimated Domains of Unknown Words
This paper presents an approach to text categorization that i) uses no machine learning and ii) reacts on-the-fly to unknown words. These features are important for categorizing B...
Chikara Hashimoto, Sadao Kurohashi