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Korea Press Promotion Foundation_News Big Data_High Frequency Noun_Economic Aspect

This data is public data built on the BIGKinds news database operated by the Korea Press Foundation. It analyzes economic news coverage from 104 major newspapers and broadcasters, extracting the 200 most frequently appearing nouns each month and providing rankings and frequency information. This allows for the identification of prominent issues and keywords in economic news over a specific period, and can be utilized for analysis of media coverage trends, exploration of economic agendas, and as a resource for research and education. Furthermore, as media metadata data utilizing big data analysis techniques, it can serve as a valuable reference not only for policy researchers, academics, journalists, but also for the general public.
The Public Data Utilization Support Center automatically converts and provides open-format file data of three or more steps open to public data portals into open APIs (RestAPI-based JSON/XML).
To use the open API, you need to sign up for a public data portal membership and apply for utilization. For inquiries about utilization, please contact the Public Data Utilization Support Center.
File data can be used by downloading without logging in.
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Korea Press Promotion Foundation_News Big Data_High Frequency Noun_Economic Aspect
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File data information Download metadata Provides schema.org based metadata.

A file data information table with a Korea Press Promotion Foundation_News Big Data_High Frequency Noun_Economic Aspect indicates information such as classification system, provider, etc.
File Name Korea Press Foundation_News Big Data_Highly Frequently Used Nouns_Gyeonggi-myeon_20231130
Classified Culture, Sports and Tourism - Culture, Sports and Tourism General Retention
Department Department NO
Retention Article 31 (Duties of the Korea Press Foundation) on the Promotion of Newspapers, etc. Collected by
Update Cycle Occasional (one-time data) Next Registration Date
Media Type Text All Rows 228
File Extension CSV Download 23528
Data Limit Keyword Economic News Analysis,high-frequency nouns,Big Kinds,Media statistics,Media metadata
Registered 2024-06-03 Edited 2025-09-25
Provided Download from open data Portal (the original text file registration)
Description This data is public data built on the BIGKinds news database operated by the Korea Press Foundation. It analyzes economic news coverage from 104 major newspapers and broadcasters, extracting the 200 most frequently appearing nouns each month and providing rankings and frequency information. This allows for the identification of prominent issues and keywords in economic news over a specific period, and can be utilized for analysis of media coverage trends, exploration of economic agendas, and as a resource for research and education. Furthermore, as media metadata data utilizing big data analysis techniques, it can serve as a valuable reference not only for policy researchers, academics, journalists, but also for the general public.
Other
Payment free Criteria for Additional Costs Case
Scope of License The use permission range limitless
The Public Data Utilization Support Center automatically converts and provides open-format file data of three or more steps open to public data portals into open APIs (RestAPI-based JSON/XML).
To use the open API, you need to sign up for a public data portal membership and apply for utilization. For inquiries about utilization, please contact the Public Data Utilization Support Center.
File data can be used by downloading without logging in.
XML JSON
Korea Press Promotion Foundation_News Big Data_High Frequency Noun_Economic Aspect

Open API Information Download metadata Provides schema.org based metadata.

Korea Press Promotion Foundation_News Big Data_High Frequency Noun_Economic Aspect Information such as classification and provision of file data information system
Service Korea Press Foundation_News Big Data_Highly Frequently Used Nouns_Gyeonggi-myeon_20231130
Classification System Culture, Sports and Tourism - Culture, Sports and Tourism General Provider
Management Agency Public Data Utilization Support Center Management agency phone number 1566-0025
Basis For Retention Article 31 (Duties of the Korea Press Foundation) on the Promotion of Newspapers, etc. Collection Method
Update Cycle Occasional (one-time data) Next Enrollment Date
Media Type Text Whole Row 228
Extension XML, JSON Application For Use 10
Data Limit Keyword Economic News Analysis,high-frequency nouns,Big Kinds,Media statistics,Media metadata
Enrollment 2024-06-03 Correction 2025-09-25
Form Of Provision Download from open data Portal (the original text file registration)
Explanation This data is public data built on the BIGKinds news database operated by the Korea Press Foundation. It analyzes economic news coverage from 104 major newspapers and broadcasters, extracting the 200 most frequently appearing nouns each month and providing rankings and frequency information. This allows for the identification of prominent issues and keywords in economic news over a specific period, and can be utilized for analysis of media coverage trends, exploration of economic agendas, and as a resource for research and education. Furthermore, as media metadata data utilizing big data analysis techniques, it can serve as a valuable reference not only for policy researchers, academics, journalists, but also for the general public.
Other Notes
Payment free Charge Standard And Unit Case
Scope Of Use The use permission range limitless
Usage Specification