1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. This study presents a comparative ...
ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
Smartphones have progressed significantly over the past few years, with improvements in display, camera quality, and performance. Some of the biggest smartphones you can buy have pushed the limits of ...
Abstract: Natural languages are written and spoken languages, and NLP (Natural Language Processing) is the ability of a computer program to recognize both written and spoken languages. Word Sense ...
Using the Sklearn classifiers: Naive Bayes, Random Forest, Adaboost, Gradient Boost, Logistic Regression and Decision Tree good success rates are observed in a very simple manner. In this work ...
This project implements multinomial and Bernoulli Naive Bayes algorithms for text classification on the Reuters-21578 dataset. It covers data preprocessing, model training, evaluation, and statistical ...
Abstract: Text classification algorithms, such SVM, and Naïve Bayes, have been developed to build up search engines and construct spam email filters. As a simple yet powerful sample of Bayesian ...
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