Optimized Predictive Models in Health Care Using Machine Learning

13NLP-Based Speech Analysis Using K-Neighbor Classifier

Renuka Arora¹ and Rishu Bhatia²*

¹Jagannath University, N.C.R. Bahadurgarh, Jhajjar, India

²Ganga Institute of Technology and Management, Kablana, Bahadurgarh, Jhajjar, India

Abstract

Natural language programming (NLP) is a significant region of computerized reasoning examination related to the operation and communication of various artificial intelligence (AI) regions. As of not long ago, the attentiveness in AI submissions in NLP was on data presentation, legitimate rational, and imperative execution—first applied to semantics and then to sentence building. In the most modern decade, memorable traffic in the NLP study has affected the universality of massive scope utilization of accurate methods, for example, AI. This is similar to opening the route to the learning and enhancement techniques that establish the centre of present-day AI, the most highly transmissible controls and neural organizations. In this paper, we give similar outcomes for discourse weakness dependent on various characterization calculations on Weka. The article recognizes four stages by examining multiple degrees and parts of the language, trailed by introducing the set of experiences, advancement, different utilizations of NLP, and the latest things. Weka is a collection of AI controls for paying attention to genuine mining-related topics. It is transcribed in Java language and routes on a practically specified period.

Keywords: Neural network, ...