Automatic text classification system based on AI technology

Rui Xu

doi:10.1117/12.2645716

23 August 2022 Automatic text classification system based on AI technology

Rui Xu

Proceedings Volume 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022); 123051C (2022) https://doi.org/10.1117/12.2645716
Event: International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022, Hangzhou, China

Abstract

At present, the commonly used text classification methods are based on the classification function provided by the supervised learning algorithm. Faced with massive data, it has the problems of slow classification speed, low accuracy and single classification function. In response to this urgent problem, this paper designs a text classification system based on AI technology. The Visual C++ programming language is used in the design of the classification system, and the modular design is used for the system function modules, which makes the system stable and efficient under this development environment. In order to compare the applicability of manual classification methods and AI automatic classification methods, this paper conducts classification efficiency experiments and classification accuracy experiments. In the classification efficiency experiments, it is found that the larger the amount of text, the faster the AI automatic classification method is compared to the manual classification method. The faster it is, in the classification accuracy experiment, comparing the classification accuracy of the two methods for five types of texts, it is concluded that the average classification accuracy of the AI automatic classification method is 85.38%, which is 6.32% higher than that of the manual classification method. In general, the introduction of AI automatic classification methods into the classification system can achieve efficient and accurate classification.

Citation Download Citation

Rui Xu "Automatic text classification system based on AI technology", Proc. SPIE 12305, International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 123051C (23 August 2022); https://doi.org/10.1117/12.2645716

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
5 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Classification systems

Artificial intelligence

C++

Visualization

Evolutionary algorithms

Software development

Taxonomy

Show All Keywords

Keywords/Phrases

Search In:

Publication Years