A Novel Class-Center Vector Model for Text Classification Using Dependencies and a Semantic Dictionary

A Novel Class-Center Vector Model for Text Classification Using Dependencies and a Semantic Dictionary

Automatic text classification is a research focus and core technology in information retrieval and natural language processing. Different from the traditional text classification methods (SVM, Bayesian, KNN), the class-center vector method is an important text classification method, which has the ad...

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Bibliographic Details
Main Authors: Xinhua Zhu, Qingting Xu, Yishan Chen, Hongchao Chen, Tianjun Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Text classification
dependencies
weight calculation
semantic dictionary
part-of-speech
class-center vector
Online Access:https://ieeexplore.ieee.org/document/8905993/

Internet

https://ieeexplore.ieee.org/document/8905993/

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