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Classification of News Texts Based on Bayes Algorithm

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EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering

Pages 1288 - 1291

https://doi.org/10.1145/3501409.3501636

Published: 31 December 2021 Publication History

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Abstract

At present, in order to obtain valuable information from the mixed information in a short time, the text classification in data mining emerges with the time going. we used the naive Bayes algorithm to solve the problem of text classification in data mining. Firstly, we need further preprocessing to reflect this feature of the text, which is TF-ID. Secondly, through the integrated environment anaconda platform of Python, the principle of naive Bayesian classification model is mastered and the whole process of news classification is displayed. Finally, the characteristic extraction with TF-IDF value, the accuracy of Bayesian classifier was significantly improved. The emphasis is on the working principle of naive Bayes model with multinomial as a priori and the improvement on the methodof text feature extraction.: the extraction method of TF-IDF is more reasonable.

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Cited By

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李想(2023)BAG: Text Classification Based on Attention Mechanism Combining BERT and GCNSoftware Engineering and Applications10.12677/SEA.2023.12202312:02(230-241)Online publication date: 2023
https://doi.org/10.12677/SEA.2023.122023
de Andrade CBelém FCunha WFrança CViegas FRocha LGonçalves M(2023)On the class separability of contextual embeddings representations – or “The classifier does not matter when the (text) representation is so good!”Information Processing and Management: an International Journal10.1016/j.ipm.2023.10333660:4Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.ipm.2023.103336

Index Terms

Classification of News Texts Based on Bayes Algorithm
1. Theory of computation
  1. Design and analysis of algorithms
    1. Approximation algorithms analysis
      1. Stochastic approximation

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EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering

October 2021

1723 pages

ISBN:9781450384322

DOI:10.1145/3501409

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Association for Computing Machinery

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Published: 31 December 2021

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EITCE 2021

EITCE 2021: 2021 5th International Conference on Electronic Information Technology and Computer Engineering

October 22 - 24, 2021

Xiamen, China

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EITCE '21 Paper Acceptance Rate 294 of 531 submissions, 55%;

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李想(2023)BAG: Text Classification Based on Attention Mechanism Combining BERT and GCNSoftware Engineering and Applications10.12677/SEA.2023.12202312:02(230-241)Online publication date: 2023
https://doi.org/10.12677/SEA.2023.122023
de Andrade CBelém FCunha WFrança CViegas FRocha LGonçalves M(2023)On the class separability of contextual embeddings representations – or “The classifier does not matter when the (text) representation is so good!”Information Processing and Management: an International Journal10.1016/j.ipm.2023.10333660:4Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.ipm.2023.103336

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Chinese News Text Multi Classification Based on Naive Bayes Algorithm

A new approach to text classification based on naïve Bayes and modified TF-IDF algorithms

Chinese text classification by the Naïve Bayes Classifier and the associative classifier with multiple confidence threshold values

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