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News-Oriented Keyword Indexing with Maximum Entropy Principle. Li Fujian' Wang Housing' You Shi Jen' In Chengsheng2 'Institute of Computational Linguistics, Peking University, 100871, Beijing, China
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Point by point, here is how to fill out news-oriented keyword indexing:

01
Start by identifying the main topic or theme of the news content that you want to index. This could be a specific event, issue, or subject matter.
02
Generate a list of keywords that are relevant to the identified topic. These keywords should accurately reflect the content and help users find the information they are looking for. For example, if the news content is about a sports event, some relevant keywords could be the names of teams, players, or the location of the event.
03
Prioritize the keywords based on their relevance and importance within the news content. This will help ensure that the most significant keywords are given higher weightage in the indexing process.
04
Categorize the keywords into different sections or tags according to their respective topics or subtopics. This will help organize the indexed content and allow for easier navigation and searchability.
05
Once the keywords are categorized and organized, input them into the appropriate fields or metadata of the news-oriented keyword indexing system. This system could be a content management system (CMS) or a specialized indexing tool.
06
Regularly update and review the indexed keywords to ensure their accuracy and relevance over time. News topics can evolve quickly, so it is important to stay up-to-date and make necessary adjustments to the keyword indexing as needed.

Now, turning to who needs news-oriented keyword indexing:

01
News organizations and publishers: They can benefit from news-oriented keyword indexing as it improves the discoverability and accessibility of their content, allowing users to find relevant news articles more easily.
02
Researchers and analysts: Those who rely on news data for their studies or analysis can utilize keyword indexing to efficiently search and retrieve specific news articles that are relevant to their research topics.
03
General readers: Individuals who want to stay informed about current events can benefit from news-oriented keyword indexing as it helps them quickly find news articles on specific topics of interest.
In conclusion, news-oriented keyword indexing is a useful process for improving the organization and discoverability of news content. It benefits news organizations, researchers, analysts, and general readers who need efficient access to news articles.
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News-oriented keyword indexing is a method of categorizing news articles by keywords that are relevant to the content of the article.
News publishers and online media platforms are required to file news-oriented keyword indexing.
To fill out news-oriented keyword indexing, publishers need to identify and categorize keywords that accurately represent the topics covered in their news articles.
The purpose of news-oriented keyword indexing is to provide a standardized way for users to search and browse news articles based on specific topics or keywords.
The information reported on news-oriented keyword indexing includes the keywords used to categorize the news articles, as well as relevant metadata such as the article title, author, publication date, and source.
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