Abstract: The increasing adoption of conversational interfaces and semantic technologies in education is enabling new forms of scalable, personalised, and reflective assessment. In this context, a ...

Abstract: The explosion of medical literature over the past decade has resulted in efficient and accurate techniques for text categorization to handle huge amount of data. This work combines ensemble ...

🎬 Binary Sentiment Analysis on the IMDB 50K dataset. A classic NLP pipeline utilizing NLTK for preprocessing, TF-IDF for vectorization, and Logistic Regression for high-accuracy text classification.

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) ...