research-article

Deep Learning Based Network News Text Classification System

Authors:

Li Gao,

Jie ZhaoAuthors Info & Claims

MLMI '22: Proceedings of the 2022 5th International Conference on Machine Learning and Machine Intelligence

Pages 52 - 57

https://doi.org/10.1145/3568199.3568207

Published: 06 March 2023 Publication History

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Abstract

Today, text information includes all the information in the form of natural language text, among which text information occupies an important position in life and becomes an important part of people's use of social information resources. The main purpose of this paper is to study a deep learning-based online message classification system. Based on deep learning and related text segmentation theory, this paper proposes modules such as segmentation result evaluation for the first time. Then, the first implementation and experimental results of network message segmentation are introduced and analyzed in depth. The research shows that text classification is a multidisciplinary field. Among all the literatures in the statistics, computer science has the largest number of related books in the field of text classification, with a total of 1827 books published, accounting for 87.88% of the total. In addition, it can be seen from the topic distribution map that the vocabulary has many applications and development prospects in education, news broadcasting, business management, information dissemination, mathematics and other fields.

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Cited By

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Anand SPrakasam P(2024)Deep Learning-based Text News Classification using Bi-directional LSTM Model2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)10.1109/AIIoT58432.2024.10574679(1-6)Online publication date: 3-May-2024
https://doi.org/10.1109/AIIoT58432.2024.10574679

Index Terms

Deep Learning Based Network News Text Classification System
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics

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MLMI '22: Proceedings of the 2022 5th International Conference on Machine Learning and Machine Intelligence

September 2022

215 pages

ISBN:9781450397551

DOI:10.1145/3568199

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 06 March 2023

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MLMI 2022: 2022 5th International Conference on Machine Learning and Machine Intelligence

September 23 - 25, 2022

Hangzhou, China

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Anand SPrakasam P(2024)Deep Learning-based Text News Classification using Bi-directional LSTM Model2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)10.1109/AIIoT58432.2024.10574679(1-6)Online publication date: 3-May-2024
https://doi.org/10.1109/AIIoT58432.2024.10574679

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Deep Learning--based Text Classification: A Comprehensive Review

TextConvoNet: a convolutional neural network based architecture for text classification

Few-shot learning for short text classification

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