Semantic text classification with tensor space model-based naïve Bayes

2016 ◽  
Author(s):  
Han-joon Kim ◽  
Jiyun Kim ◽  
Jinseog Kim
Keyword(s):  
Text Classification ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Tensor Space ◽  
Space Model ◽  
Model Based

scholarly journals Analysis of Text Classification with various Term Weighting Schemes in Vector Space Model

2020 ◽  
Vol 9 (10) ◽  
pp. 390-393
Keyword(s):  
Vector Space ◽  
Text Classification ◽  
Naive Bayes ◽  
Information Gain ◽  
Vector Space Model ◽  
Naïve Bayes ◽  
Weighting Scheme ◽  
Term Weighting ◽  
Space Model ◽  
Weighting Methods

Term Weighting Scheme (TWS) is a key component of the matching mechanism when using the vector space model In the context of information retrieval (IR) from text documents, the this paper described a new approach of term weighting methods to improve the classification performance. In this study, we propose an effective term weighting scheme, which gives highest accuracy with compare to the text classification methods. We compared performance parameter of KNN and Naïve Bayes Classification with different Weighting Method, Weight information gain, SVM and proposed method.We have implemented many term-weighting methods (TWM) on Amazon data collections in combination with Information-Gain and SVM and KNN algorithm and Naïve Bayes Algorithm.

Arabic Text Classification using K-NN and Naive Bayes

2008 ◽  
Vol 4 (7) ◽  
pp. 600-605 ◽  
Author(s):  
Mohammed J. Bawaneh ◽  
Mahmud S. Alkoffash ◽  
Adnan I. Al Rabea
Keyword(s):  
Text Classification ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Arabic Text ◽  
Arabic Text Classification
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