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Master weather data with Python tools

Python is transforming meteorology through packages like Xarray, MetPy, and CliMetLab, which simplify accessing, analyzing, and visualizing large weather datasets. These tools integrate with Jupyter ...
Journal of Medical Internet Research

Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis

This approach combined: (1) supervised machine learning for text classification, (2) comparative topic modeling with both theory-driven and data-driven Latent Dirichlet Allocation (LDA) to identify ...
IEEE

Effective Neural Author-Topic Modeling by Leveraging Pre-Trained Language Models

Abstract: Author-topic modeling explores relationships among authors, documents, topics, and words. While traditional Bayesian methods extended Latent Dirichlet Allocation (LDA), recent neural ...
IEEE

Rethinking Topic Modeling With Information Bottleneck Principle

Abstract: By modeling global word co-occurrence patterns, topic models aim to uncover the underlying semantic structure of a corpus. However, their effectiveness is often undermined in short texts due ...