Identification of Language Using ML Algorithms and Vectorization Techniques

Alanya-Beltran J.; Kumar Jaiswal R.; Richa; Valderrama-Zapata C.; Singh D.; Kapila D. · Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 (2022) · DOI: 10.1109/icses55317.2022.9914073

Resumen

Tongue classification is a method for identifying and classifying the vernacular employed in a speech or material. This work has examined and compared the usage of feature extraction methods and algorithmic machine learning to detect countries. We used three ml techniques, two feature extraction methods. The ml algorithms utilised are Nave Bayes, Reptree, and SVM, and the feature extraction methods have are Idf Documentary Repetition and Counting Vectorizer. This research evaluated and analyzed the aforementioned classification methods and segmentation techniques. It also involves website design.

Instituciones: Universidad San Ignacio de Loyola; Universidad Tecnológica del Perú