Incorporating Task-Oriented Representation in Text Classification

2019 ◽  
pp. 401-415 ◽  
Author(s):  
Xue Lei ◽  
Yi Cai ◽  
Jingyun Xu ◽  
Da Ren ◽  
Qing Li ◽  
...  
Keyword(s):  
Text Classification ◽  
Task Oriented

scholarly journals Task-oriented Domain-specific Meta-Embedding for Text Classification

2020 ◽  
Author(s):  
Xin Wu ◽  
Yi Cai ◽  
Yang Kai ◽  
Tao Wang ◽  
Qing Li
Keyword(s):  
Text Classification ◽  
Domain Specific ◽  
Task Oriented

Rational and interactional decision-making roles in task-oriented groups

1967 ◽  
Author(s):  
Norman F. Washburne ◽  
Cecil F. Darmofall
Keyword(s):  
Decision Making ◽  
Task Oriented

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.

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