Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Most final-year students do not struggle because their project topic is weak. They struggle because they cannot explain the workflow, justify the algorithm, or defend the result during viva. That is ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

High-quality user experience improvements across e-commerce or content platforms are inherent in recommender systems. Traditional recommendation approaches, such as collaborative filtering (CF) and ...

An end-to-end NLP pipeline that classifies text from three distinct domains into a 5-level sentiment scale (Very Negative to Very Positive). The project compares classical ML approaches (SVM, XGBoost) ...

Cross domain sentiment analysis is still a difficult task because of vocabulary changes, context change and domain specific sentiment. Conventional models are not known to generalize over unknown ...

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

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Two particular phases in your nightly routine seem to play outsize roles in cognitive health. By Mohana Ravindranath A good night’s sleep isn’t just about the number of hours you log. Getting quality ...

Abstract: This paper proposes a hybrid deep learning approach combining Bidirectional Long Short-Term Memory (BiLSTM) networks and an attention mechanism to extract sentiment and thematic content from ...

Sentiment Analysis is a common Natural Language Processing (NLP) task that allows businesses and researchers to understand the emotions or opinions that customers express in their digital ...

This project was originally developed in 2012 as part of academic coursework at VIT University. In 2025, it has been modernized and updated to leverage current best practices in Python, NLP, and ...