In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...

This project performs sentiment analysis on tweets using machine learning models. The pipeline includes data loading, preprocessing, model training, evaluation, and result storage in an SQLite ...

The project develops an LSTM-based sentiment analysis system for US airline reviews, classifying them as positive or negative. Using a pre-processed dataset excluding neutral sentiments, the model ...

The present research deals with sentiment analysis performed with Microsoft Azure Machine Learning Studio to classify Facebook posts on the Greek National Public Health Organization (EODY) from ...