KR-20260065037-A - Classification-based news editing system using artificial intelligence, and method thereof

Abstract

The present invention relates to a news editing system and method by category using artificial intelligence, and more specifically, to a news editing system and method by category using artificial intelligence for delivering information on desired information and controversies as quickly as possible, learning various news as quickly as possible to accumulate the maximum amount of information, and promptly correcting incorrect information to respond before customer complaints arise.

Inventors

• 최광진
• 어영현
• 김건우

Assignees

• 삼육대학교산학협력단

Dates

Publication Date

20260508

Application Date

20241031

Claims (7)

1. A big data server (400) providing news materials and a news providing terminal (500); and A news editing system by classification using artificial intelligence, characterized by including: a news editing server (300) that receives news materials provided through a big data server (400) and a news providing terminal (500) via a network (200), collects them on a database (330), and excludes news materials with a plagiarism rate higher than a pre-set level using a copykiller algorithm from the collected news.
2. In claim 1, the news editing server (300) is, A news editing system by category using artificial intelligence, characterized by classifying news that has passed a copy-killing algorithm by category.
3. In claim 2, the news editing server (300) is, A news editing system by classification using artificial intelligence, characterized by allowing access from each smart terminal (100) through a network (200) and then providing access to news search for each smart terminal (100).
4. In claim 1, the news editing server (300) is, A system for providing a news editing service by category using artificial intelligence, characterized by receiving a request to provide a news editing service by category using artificial intelligence from an app on each smart terminal (100) via a network (200), receiving the terminal identification number, interest field, member ID, and password of the smart terminal (100), and storing the terminal identification number as metadata and the interest field, member ID, and password as user information in a database (330).
5. A first step in which a news editing server (300) receives news materials provided through a big data server (400) and a news providing terminal (500) via a network (200) and collects them on a database (330); and A method for classifying news editing using artificial intelligence, characterized by including: a second step in which a news editing server (300) excludes news materials with a plagiarism rate higher than a pre-set level using a copykiller algorithm from the collected news.
6. In claim 5, after the second step, A method for classifying news using artificial intelligence, characterized by further including a third step in which a news editing server (300) classifies news that has passed through a copy-killing algorithm by category.
7. In claim 6, after the third step, A method for classifying news editing using artificial intelligence, further comprising: a fourth step in which a news editing server (300) allows access from each smart terminal (100) through a network (200) and then provides access to news search for each smart terminal (100).

Description

Classification-based news editing system using artificial intelligence, and method thereof The present invention relates to a news editing system and method by category using artificial intelligence, and more specifically, to a news editing system and method by category using artificial intelligence for delivering information on desired information and controversies as quickly as possible, learning various news as quickly as possible to accumulate the maximum amount of information, and promptly correcting incorrect information to respond before customer complaints arise. In Korea, the world's number one country for news consumption through portals, copy news accounts for 46% of all news as of 2022. However, previously, people searched for news by directly looking through articles in category sections or using search engines, but it was not easy to filter out articles with high similarity. We will examine the conventional technology related to this. Korean Patent Application No. 10-2000-0001536, "Method of allocating article codes and searching the article by the code on internet," is intended to enable subscribers of daily newspapers or weekly/monthly magazines, etc., to easily find relevant article content on the internet. It relates to a method of assigning a code to article content and searching for articles on the internet using this code. To this end, the method is characterized by comprising the steps of: generating a unique article code for each article to be printed in a printed material such as a newspaper or magazine and registering it in a database of an internet site; printing the generated article code together with the corresponding article content to publish the printed material; receiving an article search request from a user computer connected via the internet; searching for an article corresponding to the article code entered by the user in the database; and transmitting the searched article to the user computer. In addition, Korean Patent Application No. 10-2020-0147275, "Method for providing keyword-stock extraction service for stock stock recommendation in real-time news articles," comprises the steps of: crawling news article data from a news article database; extracting keyword and stock information from the crawled news article data; applying the extracted keyword and stock information to a pre-built learning model database to construct associated keyword-stock mapping data based on the news article data; and providing a stock information service using the constructed associated keyword-stock mapping data to a user terminal. However, these conventional technologies have a limitation in that they cannot exclude news materials exceeding a preset plagiarism rate, as they provide most of the content copied almost verbatim. Accordingly, in this technology field, there is a need for technological development aimed at excluding news materials exceeding a preset plagiarism rate to deliver information on desired topics and controversies as quickly as possible, accumulating the maximum amount of information by learning from diverse news as rapidly as possible, and promptly correcting erroneous information to respond before customer complaints arise. FIG. 1 is a drawing showing a news editing system (1) by classification using artificial intelligence according to an embodiment of the present invention. FIG. 2 is a block diagram showing the components of a news editing server (300) in a news editing system (1) by classification using artificial intelligence according to an embodiment of the present invention. FIGS. 3 and 4 are drawings for explaining a news editing system (1) by classification using artificial intelligence according to an embodiment of the present invention. FIG. 5 is a diagram illustrating a method for editing news by classification using artificial intelligence according to an embodiment of the present invention. Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In describing the present invention below, if it is determined that a detailed description of related known functions or configurations may unnecessarily obscure the essence of the present invention, such detailed description will be omitted. In this specification, when one component 'transmits' data or a signal to another component, it means that the component may transmit said data or the signal directly to the other component, or transmit said data or the signal to the other component through at least one other component. FIG. 1 is a diagram showing a news editing system (1) by category using artificial intelligence according to an embodiment of the present invention. Referring to FIG. 1, the news editing system (1) by category using artificial intelligence may include a plurality of smart terminals (100), a network (200), a news editing server (300), a big data server (400), and a plurality of news providing terminals (50