Text mining of mental health-related posts from Singapore-based Reddit communities uncovered ten themes, with (1) loneliness, (2) access to affordable mental health care, and (3) education challenges ...

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and Evan Muzzall, demonstrating how academic libraries are supporting TDM ...

CHICAGO - The Association of College and Research Libraries (ACRL) announces the publication of "Text and Data Mining Literacy for Librarians," edited by Whitney Kramer, Iliana Burgos, and Evan ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

This project analyzes IMDb movie reviews to classify sentiments as positive or negative. It includes text preprocessing, feature extraction using TF-IDF and CountVectorizer, training Logistic ...

This article is based on a presentation at Womble Bond Dickinson’s AI Intensive: Playbook for Innovation and Risk Mitigation virtual summit on May 20, 2025 (including some updates in respect of the UK ...

Methods: We adopted a text-mining approach with theory-driven topic extraction from online reviews to develop a service quality assessment framework. The framework is based on topic and sentiment ...