Cognitive Linguistic Corpus Classification and Terminology Database Design Based on Multimedia Technology

Main Article Content

Weihui Cui, Yanwen Cao, Hua Ai, Juntao Shi


With the continuous development of the social economy, multimedia has been valued more and more as a computer technology with strong professional technology and high application level. The quality of multimedia professionals is predicted and analyzed for multimedia professional talent through the Internet according to a Chinese keyword extraction algorithm. It realizes the extraction of keywords through Internet intelligence information acquisition for solving the problem of Internet information explosion, aiming to solve the talent quality prediction analysis. The prediction and analysis of multimedia professional talent quality play a crucial role in talent recruitment and development in the ever-evolving multimedia industry. This paper constructed a Fuzzy Secured Hybrid Search (FSHS) for keyword extraction in the Chinese Language. The proposed FSHS model computes the features in the text for the computation of the talent quality prediction for the extraction of the keywords. Through the utilization of the fuzzy logic model, the features in the text are computed and classification is performed classification and extraction of the features. The simulation results show that the Chinese keyword extraction algorithm has a high recall rate and precision rate, and can effectively predict the quality of professional talents.

Article Details

Author Biography

Weihui Cui, Yanwen Cao, Hua Ai, Juntao Shi

1Weihui Cui

1Yanwen Cao

1Hua Ai

1Juntao Shi

1Langfang Yanjing Vocational Technical College, Sanhe, Hebei, 065200, China

*Corresponding author e-mail:

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