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

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

Documents

text classication tasks

ipm text classication

lowcost text classication

new text classication

proposed method

text classier

unlabeled documents

tcfp classifier