Academic Journal of Computing & Information Science, 2026, 9(2); doi: 10.25236/AJCIS.2026.090203.
Wenbin Cai, Yanqing Chen
International Business College, South China Normal University, Foshan, Guangdong, China
Traditional manual proofreading methods can no longer meet the demands of efficient dissemination of data and information under the development of information technology. Therefore, a natural language information processing system for the legal consulting market in new media environments based on AI algorithms is proposed. The system can automatically search for important page information and text, extract text, generate summaries, and proofread and review information, then send the proofread information to searchers, enabling precise pre-screening of all information and saving reading effort and cost. Through experimental testing of the system's algorithmic functions, the system's operational results meet expectations.
AI algorithms; natural language; information extraction; information proofreading
Wenbin Cai, Yanqing Chen. Design of a Natural Language Information Extraction and Proofreading System Based on AI Algorithms. Academic Journal of Computing & Information Science (2026), Vol. 9, Issue 2: 18-22. https://doi.org/10.25236/AJCIS.2026.090203.
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