The analysis pipeline was implemented using Python’s Natural Language Toolkit, Gensim, and scikit-learn libraries, with hyperparameter tuning to maximize model performance. Results: Sentiment analysis ...

Abstract: This study evaluates the performance of Naive Bayes and Logistic Regression algorithms in sentiment analysis of YouTube comments on Indonesia’s education system. Using the CRISP-DM framework ...

Abstract: Sentiment analysis plays a crucial role in businesses by understanding customer emotions through text toward their products or services. This paper compares two sentiment classification ...

A offensive language detection model for bangla social media content using Bangla BERT, and deploy it via FastAPI. Docker has been used in this project to ensure consistent, portable, and efficient ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of ...

This project focuses on analyzing public sentiment toward Apple and Google products by leveraging Natural Language Processing (NLP) techniques. The primary objective is to develop a robust model ...