CNAE2

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A CNAE2 application field is generally used for concept based search and retrieval of linguistics and natural language data. The concept is defined as a combination of related terms from various sources, including the Internet, textual literature, computer databases, and structured databases.

The applications of CNAE2 are diverse and include a variety of domains, such as text mining, natural language processing, document understanding, multimedia indexing, and speech applications. The concept-based retrieval system is commonly used in industrial applications, such as engineering, financial analysis, marketing, and medical diagnosis. Additionally, CNAE2 has been used for intelligent search engine development and intelligent agent construction.

The working principle of CNAE2 can be summarized as follows. First, a database is built for sorting and searching the target data. This database contains all relevant information from the source and the destination. Next, the query is decomposed into its logical components and stored in the database. Then the query is checked against the stored results for further assessment. The similarities between the query and the data are evaluated based on their input parameters and the evidence collected by the search engine. Finally, if the query matches the results, the results are displayed.

In summary, CNAE2 is a powerful application field used for concept-based search and retrieval of linguistics and natural language data. The application is used to support industrial-scale processes and intelligent search engine development. The working principle of CNAE2 is based on the decomposition of queries into logical components and the evaluation of similarities between them and the data.

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