Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : Youngjoong Ko, Jungyun Seo 2009, IPM Text classiﬁcation from unlabeled documents

Intelligent Database Systems Lab

Presenter : Chang,Chun-Chih

Authors : Youngjoong Ko, Jungyun Seo

2009, IPM

Text classification from unlabeled documents with bootstrapping

and feature projection techniques


Outlines

MotivationObjectivesMethodologyExperimentsConclusionsComments


Motivation

• A general inductive process automatically builds a text classifier by learning, generally known as supervised learning.

• The most notable problem is that they require a large number of labeled training documents for accurate learning.


Objectives

• The propose a new text classification method based on unsupervised or semi-supervised learning

• The proposed method launches text classification tasks with only unlabeled documents.


Methodology-Framework


Methodology -Creating keyword lists


Methodology -Creating keyword lists

1 = 1.0+( 1.0 - 1.0 )

Student

traffic

is

1.0

1.0

Title WordTitle WordStudent

trafficbook

0.05

0.6

1.15 = 0.6+( 0.6 – 0.05 )


Methodology -Extracting & verifying centroid-context


Methodology-Creating the context-cluster of each category

1.


Methodology-Creating the context-cluster of each category2.

3.


Methodology-Creating the context-cluster of each category

EX: 1. eat Banana 2. taste Banana 3. eat Apple


Methodology-The TCFP classifier with robustness from noisy data


Methodology-The TCFP classifier with robustness from noisy data


Experiments


Experiments


Experiments


Experiments


Experiments


Experiments


Experiments


Conclusions

• The proposed method is useful for low-cost text classification

• If some text classification tasks require high accuracy, can be used as an assistant tool for easily creating training data.


Comments

• Advantages– faster – less expensive

• Applications– Text classification

Documents

Intelligent Database Systems Lab Presenter : Chang,Chun-Chih Authors : Youngjoong Ko, Jungyun Seo 2009, IPM Text classiﬁcation from unlabeled documents