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) ...

Abstract: In this paper, we point out the problem that BERT is domain dependent, and propose to construct the domain specific pre-training DistilBERT model by using fine-tuning. In particular, ...

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 ...

This repository contains the code for the project on fake news detection using the FakeNewsCorpus and LIAR datasets. Logistic Regression, Näive Bayes, and DistilBERT models are used for classification ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start. The single biggest new feature in Python ...

Despite miles of ground covered as we drove through the Everglades under the cover of darkness, it was impossible to ignore the fact that we hadn’t spotted a single mammal. The expansive wetlands in ...