Aditya Pal
Computer Science
Feburary 2023
Natural language processing (NLP) has drawn a lot of attention recently as a way to analyze and evaluate human dialogue computer. We explore the breakdown of the sustainable and nutritious ingredients in recipes and cuisine using natural language processing and artificial intelligence. In addition to machine interpretation, email spam detection, data extraction, outline generation, therapeutic use, and question answering, its applications have spread to a variety of diverse industries. We discuss challenges after outlining the cutting edge and a few usage examples. A legal AI recovery framework is developed using natural language processing (NLP) technology and then implemented in the context of artificial intelligence (AI) legislation. After considering the case's theme, the accuracy, review rate, blunder rate, and other relevant markers are next assessed to examine how the lawful recovery framework was given. The framework passed the dependability test with flying colors and experienced no problems during the continuous seven-day recovery test, according to additional assessments of its unwavering quality. The employment of NLP technology in the legal AI recovery framework has a high degree of precision, which is consistent with the paper's premise; it can be inferred from this analysis.
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