scholarly journals Fast Fuzzy Feature Clustering for Text Classification

2012 ◽  
Author(s):  
Megha Dawar
Keyword(s):  
Text Classification ◽  
Feature Clustering

scholarly journals Method of Feature Reduction in Short Text Classification Based on Feature Clustering

2019 ◽  
Vol 9 (8) ◽  
pp. 1578 ◽  
Author(s):  
Li ◽  
Yin ◽  
Shi ◽  
Mao ◽  
Shi
Keyword(s):  
Text Classification ◽  
Spectral Clustering ◽  
Reduction Method ◽  
Feature Reduction ◽  
Vector Spaces ◽  
Feature Clustering ◽  
Short Text ◽  
Cluster Feature ◽  
Original Feature ◽  
Traversal Algorithm

One decisive problem of short text classification is the serious dimensional disaster when utilizing a statistics-based approach to construct vector spaces. Here, a feature reduction method is proposed that is based on two-stage feature clustering (TSFC), which is applied to short text classification. Features are semi-loosely clustered by combining spectral clustering with a graph traversal algorithm. Next, intra-cluster feature screening rules are designed to remove outlier feature words, which improves the effect of similar feature clusters. We classify short texts with corresponding similar feature clusters instead of original feature words. Similar feature clusters replace feature words, and the dimension of vector space is significantly reduced. Several classifiers are utilized to evaluate the effectiveness of this method. The results show that the method largely resolves the dimensional disaster and it can significantly improve the accuracy of short text classification.

scholarly journals A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification

2012 ◽  
Vol 02 (09) ◽  
pp. 36-44
Author(s):  
A. Kavitha
Keyword(s):  
Text Classification ◽  
Clustering Algorithm ◽  
Feature Clustering

A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification

2011 ◽  
Vol 23 (3) ◽  
pp. 335-349 ◽  
Author(s):  
Jung-Yi Jiang ◽  
Ren-Jia Liou ◽  
Shie-Jue Lee
Keyword(s):  
Text Classification ◽  
Clustering Algorithm ◽  
Feature Clustering

Leveraging Accident Investigation Reports as Leading Indicators of Construction Safety Using Text Classification

2020 ◽  
Author(s):  
Shraddha Shrestha ◽  
Syed Ahnaf Morshed ◽  
Nipesh Pradhananga ◽  
Xuan Lv
Keyword(s):  
Text Classification ◽  
Construction Safety ◽  
Leading Indicators ◽  
Accident Investigation

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

Research on text feature clustering based on an improved parallel genetic algorithm

2015 ◽  
Author(s):  
M. Y. Jiang ◽  
X. J. Fan ◽  
Y. X. Zhou ◽  
J. Lian ◽  
J. Q. Jiang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Parallel Genetic Algorithm ◽  
Feature Clustering ◽  
Text Feature
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