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» Negative Training Data Can be Harmful to Text Classification
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77
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KDD
2008
ACM
128views Data Mining» more  KDD 2008»
15 years 10 months ago
Scaling up text classification for large file systems
: We combine the speed and scalability of information retrieval with the generally superior classification accuracy offered by machine learning, yielding a two-phase text classifie...
George Forman, Shyamsundar Rajaram
105
Voted
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
14 years 11 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
INTERSPEECH
2010
14 years 4 months ago
Topic and style-adapted language modeling for Thai broadcast news ASR
The amount of available Thai broadcast news transcribed text for training a language model is still very limited, comparing to other major languages. Since the construction of a b...
Markpong Jongtaveesataporn, Sadaoki Furui
ICFCA
2009
Springer
14 years 7 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 3 months ago
TV Commercial Classification by using Multi-Modal Textual Information
In this paper, we propose an approach for TV commercial video classification by the categories of advertised products or services (e.g. automobiles, healthcare products, etc). Sin...
Yantao Zheng, Lingyu Duan, Qi Tian, Jesse S. Jin